id	sid	tid	token	lemma	pos
bibechana-57732	1	1	bibechana	bibechana	PROPN
bibechana-57732	1	2	vol	vol	NOUN
bibechana-57732	1	3	.	.	PROPN
bibechana-57732	2	1	20	20	NUM
bibechana-57732	2	2	,	,	PUNCT
bibechana-57732	2	3	no	no	INTJ
bibechana-57732	2	4	.	.	NOUN
bibechana-57732	2	5	3	3	NUM
bibechana-57732	2	6	,	,	PUNCT
bibechana-57732	2	7	december	december	PROPN
bibechana-57732	2	8	2023	2023	NUM
bibechana-57732	2	9	,	,	PUNCT
bibechana-57732	2	10	267	267	NUM
bibechana-57732	2	11	-	-	SYM
bibechana-57732	2	12	274	274	NUM
bibechana-57732	2	13	issn	issn	NOUN
bibechana-57732	2	14	2091	2091	NUM
bibechana-57732	2	15	-	-	SYM
bibechana-57732	2	16	0762	0762	NUM
bibechana-57732	2	17	(	(	PUNCT
bibechana-57732	2	18	print	print	NOUN
bibechana-57732	2	19	)	)	PUNCT
bibechana-57732	2	20	,	,	PUNCT
bibechana-57732	2	21	2382	2382	NUM
bibechana-57732	2	22	-	-	SYM
bibechana-57732	2	23	5340	5340	NUM
bibechana-57732	2	24	(	(	PUNCT
bibechana-57732	2	25	online	online	ADJ
bibechana-57732	2	26	)	)	PUNCT
bibechana-57732	2	27	journal	journal	NOUN
bibechana-57732	2	28	homepage	homepage	NOUN
bibechana-57732	2	29	:	:	PUNCT
bibechana-57732	2	30	http://nepjol.info/index.php/bibechana	http://nepjol.info/index.php/bibechana	PROPN
bibechana-57732	2	31	publisher	publisher	NOUN
bibechana-57732	2	32	:	:	PUNCT
bibechana-57732	2	33	dept	dept	PROPN
bibechana-57732	2	34	.	.	PROPN
bibechana-57732	2	35	of	of	ADP
bibechana-57732	2	36	phys	phy	NOUN
bibechana-57732	2	37	.	.	PUNCT
bibechana-57732	2	38	,	,	PUNCT
bibechana-57732	3	1	mahendra	mahendra	PROPN
bibechana-57732	3	2	morang	morang	PROPN
bibechana-57732	3	3	a.	a.	PROPN
bibechana-57732	3	4	m.	m.	PROPN
bibechana-57732	3	5	campus	campus	PROPN
bibechana-57732	3	6	(	(	PUNCT
bibechana-57732	3	7	tribhuvan	tribhuvan	PROPN
bibechana-57732	3	8	university	university	NOUN
bibechana-57732	3	9	)	)	PUNCT
bibechana-57732	3	10	biratnagar	biratnagar	NOUN
bibechana-57732	3	11	machine	machine	NOUN
bibechana-57732	3	12	learning	learn	VERB
bibechana-57732	3	13	driven	drive	VERB
bibechana-57732	3	14	prediction	prediction	NOUN
bibechana-57732	3	15	of	of	ADP
bibechana-57732	3	16	lattice	lattice	NOUN
bibechana-57732	3	17	constants	constant	NOUN
bibechana-57732	3	18	in	in	ADP
bibechana-57732	3	19	transition	transition	NOUN
bibechana-57732	3	20	metal	metal	NOUN
bibechana-57732	3	21	dichalcogenides	dichalcogenide	NOUN
bibechana-57732	3	22	bhupendra	bhupendra	PROPN
bibechana-57732	3	23	sharma1	sharma1	PROPN
bibechana-57732	3	24	,	,	PUNCT
bibechana-57732	3	25	laxman	laxman	PROPN
bibechana-57732	3	26	chaudhary1	chaudhary1	PROPN
bibechana-57732	3	27	,	,	PUNCT
bibechana-57732	3	28	rajendra	rajendra	PROPN
bibechana-57732	3	29	adhikari2	adhikari2	PROPN
bibechana-57732	4	1	madhav	madhav	PROPN
bibechana-57732	4	2	prasad	prasad	PROPN
bibechana-57732	4	3	ghimire1,∗	ghimire1,∗	PROPN
bibechana-57732	4	4	1central	1central	PROPN
bibechana-57732	4	5	department	department	PROPN
bibechana-57732	4	6	of	of	ADP
bibechana-57732	4	7	physics	physics	PROPN
bibechana-57732	4	8	,	,	PUNCT
bibechana-57732	4	9	tribhuvan	tribhuvan	PROPN
bibechana-57732	4	10	university	university	PROPN
bibechana-57732	4	11	,	,	PUNCT
bibechana-57732	4	12	kirtipur	kirtipur	NOUN
bibechana-57732	4	13	,	,	PUNCT
bibechana-57732	4	14	44613	44613	NUM
bibechana-57732	4	15	,	,	PUNCT
bibechana-57732	4	16	kathmandu	kathmandu	NOUN
bibechana-57732	4	17	,	,	PUNCT
bibechana-57732	4	18	nepal	nepal	ADJ
bibechana-57732	4	19	.	.	PUNCT
bibechana-57732	5	1	2department	2department	NUM
bibechana-57732	5	2	of	of	ADP
bibechana-57732	5	3	physics	physics	PROPN
bibechana-57732	5	4	,	,	PUNCT
bibechana-57732	5	5	kathmandu	kathmandu	PROPN
bibechana-57732	5	6	university	university	PROPN
bibechana-57732	5	7	,	,	PUNCT
bibechana-57732	5	8	dhulikhel	dhulikhel	PROPN
bibechana-57732	5	9	,	,	PUNCT
bibechana-57732	5	10	kavre	kavre	NOUN
bibechana-57732	5	11	,	,	PUNCT
bibechana-57732	5	12	nepal	nepal	ADJ
bibechana-57732	5	13	.	.	PUNCT
bibechana-57732	6	1	∗corresponding	∗corresponde	VERB
bibechana-57732	6	2	author	author	NOUN
bibechana-57732	6	3	.	.	PUNCT
bibechana-57732	7	1	email	email	NOUN
bibechana-57732	7	2	:	:	PUNCT
bibechana-57732	7	3	madhav.ghimire@cdp.tu.edu.np	madhav.ghimire@cdp.tu.edu.np	PROPN
bibechana-57732	7	4	abstract	abstract	ADJ
bibechana-57732	7	5	machine	machine	NOUN
bibechana-57732	7	6	learning	learning	NOUN
bibechana-57732	7	7	represents	represent	VERB
bibechana-57732	7	8	an	an	DET
bibechana-57732	7	9	emerging	emerge	VERB
bibechana-57732	7	10	branch	branch	NOUN
bibechana-57732	7	11	of	of	ADP
bibechana-57732	7	12	artificial	artificial	ADJ
bibechana-57732	7	13	intelligence	intelligence	NOUN
bibechana-57732	7	14	,	,	PUNCT
bibechana-57732	7	15	centering	center	VERB
bibechana-57732	7	16	on	on	ADP
bibechana-57732	7	17	the	the	DET
bibechana-57732	7	18	enhancement	enhancement	NOUN
bibechana-57732	7	19	of	of	ADP
bibechana-57732	7	20	algorithms	algorithm	NOUN
bibechana-57732	7	21	in	in	ADP
bibechana-57732	7	22	computer	computer	NOUN
bibechana-57732	7	23	programs	program	NOUN
bibechana-57732	7	24	through	through	ADP
bibechana-57732	7	25	the	the	DET
bibechana-57732	7	26	utilization	utilization	NOUN
bibechana-57732	7	27	of	of	ADP
bibechana-57732	7	28	data	datum	NOUN
bibechana-57732	7	29	and	and	CCONJ
bibechana-57732	7	30	the	the	DET
bibechana-57732	7	31	accumulation	accumulation	NOUN
bibechana-57732	7	32	of	of	ADP
bibechana-57732	7	33	research	research	NOUN
bibechana-57732	7	34	-	-	PUNCT
bibechana-57732	7	35	driven	drive	VERB
bibechana-57732	7	36	knowledge	knowledge	NOUN
bibechana-57732	7	37	.	.	PUNCT
bibechana-57732	8	1	the	the	DET
bibechana-57732	8	2	requirement	requirement	NOUN
bibechana-57732	8	3	for	for	ADP
bibechana-57732	8	4	artificial	artificial	ADJ
bibechana-57732	8	5	intelligence	intelligence	NOUN
bibechana-57732	8	6	in	in	ADP
bibechana-57732	8	7	materials	material	NOUN
bibechana-57732	8	8	science	science	NOUN
bibechana-57732	8	9	is	be	AUX
bibechana-57732	8	10	essential	essential	ADJ
bibechana-57732	8	11	due	due	ADP
bibechana-57732	8	12	to	to	ADP
bibechana-57732	8	13	the	the	DET
bibechana-57732	8	14	significant	significant	ADJ
bibechana-57732	8	15	need	need	NOUN
bibechana-57732	8	16	for	for	ADP
bibechana-57732	8	17	innovative	innovative	ADJ
bibechana-57732	8	18	high	high	ADJ
bibechana-57732	8	19	-	-	PUNCT
bibechana-57732	8	20	performance	performance	NOUN
bibechana-57732	8	21	materials	material	NOUN
bibechana-57732	8	22	on	on	ADP
bibechana-57732	8	23	a	a	DET
bibechana-57732	8	24	large	large	ADJ
bibechana-57732	8	25	scale	scale	NOUN
bibechana-57732	8	26	.	.	PUNCT
bibechana-57732	9	1	in	in	ADP
bibechana-57732	9	2	this	this	DET
bibechana-57732	9	3	report	report	NOUN
bibechana-57732	9	4	,	,	PUNCT
bibechana-57732	9	5	the	the	DET
bibechana-57732	9	6	gradient	gradient	NOUN
bibechana-57732	9	7	boosting	boost	VERB
bibechana-57732	9	8	regression	regression	NOUN
bibechana-57732	9	9	tree	tree	NOUN
bibechana-57732	9	10	model	model	NOUN
bibechana-57732	9	11	of	of	ADP
bibechana-57732	9	12	machine	machine	NOUN
bibechana-57732	9	13	learning	learning	NOUN
bibechana-57732	9	14	was	be	AUX
bibechana-57732	9	15	applied	apply	VERB
bibechana-57732	9	16	to	to	PART
bibechana-57732	9	17	predict	predict	VERB
bibechana-57732	9	18	the	the	DET
bibechana-57732	9	19	lattice	lattice	PROPN
bibechana-57732	9	20	constants	constant	NOUN
bibechana-57732	9	21	of	of	ADP
bibechana-57732	9	22	cubic	cubic	ADJ
bibechana-57732	9	23	and	and	CCONJ
bibechana-57732	9	24	trigonal	trigonal	ADJ
bibechana-57732	9	25	mx2	mx2	NOUN
bibechana-57732	9	26	systems	system	NOUN
bibechana-57732	9	27	(	(	PUNCT
bibechana-57732	9	28	m	m	NOUN
bibechana-57732	9	29	=	=	NOUN
bibechana-57732	9	30	transition	transition	NOUN
bibechana-57732	9	31	metal	metal	NOUN
bibechana-57732	9	32	and	and	CCONJ
bibechana-57732	9	33	x	x	NOUN
bibechana-57732	9	34	=	=	NOUN
bibechana-57732	9	35	chalcogen	chalcogen	ADJ
bibechana-57732	9	36	atoms	atom	NOUN
bibechana-57732	9	37	)	)	PUNCT
bibechana-57732	9	38	.	.	PUNCT
bibechana-57732	10	1	the	the	DET
bibechana-57732	10	2	theoretical	theoretical	ADJ
bibechana-57732	10	3	/	/	SYM
bibechana-57732	10	4	experimental	experimental	ADJ
bibechana-57732	10	5	values	value	NOUN
bibechana-57732	10	6	of	of	ADP
bibechana-57732	10	7	the	the	DET
bibechana-57732	10	8	materials	material	NOUN
bibechana-57732	10	9	were	be	AUX
bibechana-57732	10	10	compared	compare	VERB
bibechana-57732	10	11	to	to	ADP
bibechana-57732	10	12	the	the	DET
bibechana-57732	10	13	predicted	predict	VERB
bibechana-57732	10	14	values	value	NOUN
bibechana-57732	10	15	to	to	PART
bibechana-57732	10	16	calculate	calculate	VERB
bibechana-57732	10	17	the	the	DET
bibechana-57732	10	18	standard	standard	ADJ
bibechana-57732	10	19	errors	error	NOUN
bibechana-57732	10	20	such	such	ADJ
bibechana-57732	10	21	as	as	ADP
bibechana-57732	10	22	rmse	rmse	NOUN
bibechana-57732	10	23	(	(	PUNCT
bibechana-57732	10	24	root	root	NOUN
bibechana-57732	10	25	mean	mean	VERB
bibechana-57732	10	26	square	square	NOUN
bibechana-57732	10	27	error	error	NOUN
bibechana-57732	10	28	)	)	PUNCT
bibechana-57732	10	29	and	and	CCONJ
bibechana-57732	10	30	mae	mae	PROPN
bibechana-57732	10	31	(	(	PUNCT
bibechana-57732	10	32	mean	mean	VERB
bibechana-57732	10	33	absolute	absolute	ADJ
bibechana-57732	10	34	error	error	NOUN
bibechana-57732	10	35	)	)	PUNCT
bibechana-57732	10	36	.	.	PUNCT
bibechana-57732	11	1	the	the	DET
bibechana-57732	11	2	features	feature	NOUN
bibechana-57732	11	3	used	use	VERB
bibechana-57732	11	4	to	to	PART
bibechana-57732	11	5	predict	predict	VERB
bibechana-57732	11	6	lattice	lattice	PROPN
bibechana-57732	11	7	constants	constant	NOUN
bibechana-57732	11	8	were	be	AUX
bibechana-57732	11	9	ionic	ionic	ADJ
bibechana-57732	11	10	radius	radius	NOUN
bibechana-57732	11	11	,	,	PUNCT
bibechana-57732	11	12	lattice	lattice	NOUN
bibechana-57732	11	13	angles	angle	NOUN
bibechana-57732	11	14	,	,	PUNCT
bibechana-57732	11	15	bandgap	bandgap	NOUN
bibechana-57732	11	16	,	,	PUNCT
bibechana-57732	11	17	formation	formation	NOUN
bibechana-57732	11	18	energy	energy	NOUN
bibechana-57732	11	19	,	,	PUNCT
bibechana-57732	11	20	total	total	ADJ
bibechana-57732	11	21	magnetic	magnetic	ADJ
bibechana-57732	11	22	moment	moment	NOUN
bibechana-57732	11	23	,	,	PUNCT
bibechana-57732	11	24	density	density	NOUN
bibechana-57732	11	25	and	and	CCONJ
bibechana-57732	11	26	oxidation	oxidation	NOUN
bibechana-57732	11	27	states	state	NOUN
bibechana-57732	11	28	.	.	PUNCT
bibechana-57732	12	1	the	the	DET
bibechana-57732	12	2	features	feature	NOUN
bibechana-57732	12	3	versus	versus	ADP
bibechana-57732	12	4	contribution	contribution	NOUN
bibechana-57732	12	5	barplot	barplot	NOUN
bibechana-57732	12	6	has	have	AUX
bibechana-57732	12	7	been	be	AUX
bibechana-57732	12	8	drawn	draw	VERB
bibechana-57732	12	9	to	to	PART
bibechana-57732	12	10	reveal	reveal	VERB
bibechana-57732	12	11	the	the	DET
bibechana-57732	12	12	contribution	contribution	NOUN
bibechana-57732	12	13	level	level	NOUN
bibechana-57732	12	14	of	of	ADP
bibechana-57732	12	15	each	each	DET
bibechana-57732	12	16	parameter	parameter	NOUN
bibechana-57732	12	17	in	in	ADP
bibechana-57732	12	18	the	the	DET
bibechana-57732	12	19	degree	degree	NOUN
bibechana-57732	12	20	of	of	ADP
bibechana-57732	12	21	[	[	X
bibechana-57732	12	22	0,1	0,1	NUM
bibechana-57732	12	23	]	]	PUNCT
bibechana-57732	12	24	to	to	PART
bibechana-57732	12	25	obtain	obtain	VERB
bibechana-57732	12	26	the	the	DET
bibechana-57732	12	27	predictions	prediction	NOUN
bibechana-57732	12	28	.	.	PUNCT
bibechana-57732	13	1	this	this	DET
bibechana-57732	13	2	report	report	NOUN
bibechana-57732	13	3	provides	provide	VERB
bibechana-57732	13	4	a	a	DET
bibechana-57732	13	5	precise	precise	ADJ
bibechana-57732	13	6	account	account	NOUN
bibechana-57732	13	7	of	of	ADP
bibechana-57732	13	8	the	the	DET
bibechana-57732	13	9	prediction	prediction	NOUN
bibechana-57732	13	10	methodology	methodology	NOUN
bibechana-57732	13	11	for	for	ADP
bibechana-57732	13	12	lattice	lattice	NOUN
bibechana-57732	13	13	parameters	parameter	NOUN
bibechana-57732	13	14	of	of	ADP
bibechana-57732	13	15	the	the	DET
bibechana-57732	13	16	transition	transition	NOUN
bibechana-57732	13	17	metal	metal	NOUN
bibechana-57732	13	18	dichalcogenides	dichalcogenide	NOUN
bibechana-57732	13	19	family	family	NOUN
bibechana-57732	13	20	,	,	PUNCT
bibechana-57732	13	21	a	a	DET
bibechana-57732	13	22	process	process	NOUN
bibechana-57732	13	23	that	that	PRON
bibechana-57732	13	24	was	be	AUX
bibechana-57732	13	25	previously	previously	ADV
bibechana-57732	13	26	not	not	PART
bibechana-57732	13	27	reported	report	VERB
bibechana-57732	13	28	.	.	PUNCT
bibechana-57732	14	1	keywords	keyword	VERB
bibechana-57732	14	2	machine	machine	NOUN
bibechana-57732	14	3	learning	learning	NOUN
bibechana-57732	14	4	,	,	PUNCT
bibechana-57732	14	5	artificial	artificial	ADJ
bibechana-57732	14	6	intelligence	intelligence	NOUN
bibechana-57732	14	7	,	,	PUNCT
bibechana-57732	14	8	gradient	gradient	NOUN
bibechana-57732	14	9	boosting	boost	VERB
bibechana-57732	14	10	regression	regression	NOUN
bibechana-57732	14	11	,	,	PUNCT
bibechana-57732	14	12	gradient	gradient	ADJ
bibechana-57732	14	13	descent	descent	NOUN
bibechana-57732	14	14	,	,	PUNCT
bibechana-57732	14	15	rmse	rmse	PROPN
bibechana-57732	14	16	,	,	PUNCT
bibechana-57732	14	17	mae	mae	PROPN
bibechana-57732	14	18	.	.	PROPN
bibechana-57732	14	19	article	article	PROPN
bibechana-57732	14	20	information	information	PROPN
bibechana-57732	14	21	manuscript	manuscript	PROPN
bibechana-57732	14	22	received	receive	VERB
bibechana-57732	14	23	:	:	PUNCT
bibechana-57732	14	24	august	august	PROPN
bibechana-57732	14	25	18	18	NUM
bibechana-57732	14	26	,	,	PUNCT
bibechana-57732	14	27	2023	2023	NUM
bibechana-57732	14	28	;	;	PUNCT
bibechana-57732	14	29	accepted	accept	VERB
bibechana-57732	14	30	:	:	PUNCT
bibechana-57732	14	31	september	september	PROPN
bibechana-57732	14	32	23	23	NUM
bibechana-57732	14	33	,	,	PUNCT
bibechana-57732	14	34	2023	2023	NUM
bibechana-57732	14	35	doi	doi	NOUN
bibechana-57732	14	36	https://doi.org/10.3126/bibechana.v20i3.57732	https://doi.org/10.3126/bibechana.v20i3.57732	PUNCT
bibechana-57732	14	37	this	this	DET
bibechana-57732	14	38	work	work	NOUN
bibechana-57732	14	39	is	be	AUX
bibechana-57732	14	40	licensed	license	VERB
bibechana-57732	14	41	under	under	ADP
bibechana-57732	14	42	the	the	DET
bibechana-57732	14	43	creative	creative	ADJ
bibechana-57732	14	44	commons	common	NOUN
bibechana-57732	14	45	cc	cc	ADP
bibechana-57732	14	46	by	by	ADP
bibechana-57732	14	47	-	-	PUNCT
bibechana-57732	14	48	nc	nc	NOUN
bibechana-57732	14	49	license	license	NOUN
bibechana-57732	14	50	.	.	PUNCT
bibechana-57732	15	1	https://creativecommons	https://creativecommon	NOUN
bibechana-57732	15	2	.	.	PUNCT
bibechana-57732	15	3	org	org	ADJ
bibechana-57732	15	4	/	/	SYM
bibechana-57732	15	5	licenses	license	NOUN
bibechana-57732	15	6	/	/	SYM
bibechana-57732	15	7	by	by	ADP
bibechana-57732	15	8	-	-	PUNCT
bibechana-57732	15	9	nc/4.0/	nc/4.0/	NOUN
bibechana-57732	15	10	1	1	NUM
bibechana-57732	15	11	introduction	introduction	NOUN
bibechana-57732	15	12	the	the	DET
bibechana-57732	15	13	crucial	crucial	ADJ
bibechana-57732	15	14	advancement	advancement	NOUN
bibechana-57732	15	15	of	of	ADP
bibechana-57732	15	16	human	human	ADJ
bibechana-57732	15	17	history	history	NOUN
bibechana-57732	15	18	has	have	AUX
bibechana-57732	15	19	been	be	AUX
bibechana-57732	15	20	manifested	manifest	VERB
bibechana-57732	15	21	by	by	ADP
bibechana-57732	15	22	the	the	DET
bibechana-57732	15	23	development	development	NOUN
bibechana-57732	15	24	of	of	ADP
bibechana-57732	15	25	new	new	ADJ
bibechana-57732	15	26	materials	material	NOUN
bibechana-57732	15	27	.	.	PUNCT
bibechana-57732	16	1	so	so	ADV
bibechana-57732	16	2	a	a	DET
bibechana-57732	16	3	vast	vast	ADJ
bibechana-57732	16	4	amount	amount	NOUN
bibechana-57732	16	5	of	of	ADP
bibechana-57732	16	6	data	datum	NOUN
bibechana-57732	16	7	has	have	AUX
bibechana-57732	16	8	been	be	AUX
bibechana-57732	16	9	collected	collect	VERB
bibechana-57732	16	10	throughout	throughout	ADP
bibechana-57732	16	11	the	the	DET
bibechana-57732	16	12	centuries	century	NOUN
bibechana-57732	16	13	in	in	ADP
bibechana-57732	16	14	the	the	DET
bibechana-57732	16	15	discipline	discipline	NOUN
bibechana-57732	16	16	of	of	ADP
bibechana-57732	16	17	material	material	NOUN
bibechana-57732	16	18	science	science	NOUN
bibechana-57732	16	19	.	.	PUNCT
bibechana-57732	17	1	the	the	DET
bibechana-57732	17	2	database	database	NOUN
bibechana-57732	17	3	of	of	ADP
bibechana-57732	17	4	the	the	DET
bibechana-57732	17	5	previous	previous	ADJ
bibechana-57732	17	6	experiments	experiment	NOUN
bibechana-57732	17	7	can	can	AUX
bibechana-57732	17	8	be	be	AUX
bibechana-57732	17	9	used	use	VERB
bibechana-57732	17	10	to	to	PART
bibechana-57732	17	11	expedite	expedite	VERB
bibechana-57732	17	12	innovations	innovation	NOUN
bibechana-57732	17	13	.	.	PUNCT
bibechana-57732	18	1	the	the	DET
bibechana-57732	18	2	rise	rise	NOUN
bibechana-57732	18	3	of	of	ADP
bibechana-57732	18	4	artificial	artificial	ADJ
bibechana-57732	18	5	intelligence	intelligence	NOUN
bibechana-57732	18	6	(	(	PUNCT
bibechana-57732	18	7	ai	ai	AUX
bibechana-57732	18	8	)	)	PUNCT
bibechana-57732	18	9	ushers	usher	VERB
bibechana-57732	18	10	a	a	DET
bibechana-57732	18	11	new	new	ADJ
bibechana-57732	18	12	genesis	genesis	NOUN
bibechana-57732	18	13	in	in	ADP
bibechana-57732	18	14	the	the	DET
bibechana-57732	18	15	development	development	NOUN
bibechana-57732	18	16	of	of	ADP
bibechana-57732	18	17	materials	material	NOUN
bibechana-57732	18	18	.	.	PUNCT
bibechana-57732	19	1	ai	ai	VERB
bibechana-57732	19	2	works	work	NOUN
bibechana-57732	19	3	on	on	ADP
bibechana-57732	19	4	the	the	DET
bibechana-57732	19	5	basis	basis	NOUN
bibechana-57732	19	6	of	of	ADP
bibechana-57732	19	7	complex	complex	ADJ
bibechana-57732	19	8	multilayer	multilayer	ADJ
bibechana-57732	19	9	neural	neural	ADJ
bibechana-57732	19	10	networks	network	NOUN
bibechana-57732	19	11	with	with	ADP
bibechana-57732	19	12	magnificent	magnificent	ADJ
bibechana-57732	19	13	data	datum	NOUN
bibechana-57732	19	14	mining	mining	NOUN
bibechana-57732	19	15	ability	ability	NOUN
bibechana-57732	19	16	.	.	PUNCT
bibechana-57732	20	1	the	the	DET
bibechana-57732	20	2	fusion	fusion	NOUN
bibechana-57732	20	3	of	of	ADP
bibechana-57732	20	4	material	material	NOUN
bibechana-57732	20	5	science	science	NOUN
bibechana-57732	20	6	and	and	CCONJ
bibechana-57732	20	7	ai	ai	PROPN
bibechana-57732	20	8	methods	method	NOUN
bibechana-57732	20	9	are	be	AUX
bibechana-57732	20	10	used	use	VERB
bibechana-57732	20	11	to	to	PART
bibechana-57732	20	12	find	find	VERB
bibechana-57732	20	13	the	the	DET
bibechana-57732	20	14	complex	complex	ADJ
bibechana-57732	20	15	relationship	relationship	NOUN
bibechana-57732	20	16	between	between	ADP
bibechana-57732	20	17	different	different	ADJ
bibechana-57732	20	18	parameters	parameter	NOUN
bibechana-57732	20	19	,	,	PUNCT
bibechana-57732	20	20	267	267	NUM
bibechana-57732	20	21	http://nepjol.info/index.php/bibechana	http://nepjol.info/index.php/bibechana	NOUN
bibechana-57732	20	22	madhav.ghimire@cdp.tu.edu.np	madhav.ghimire@cdp.tu.edu.np	NOUN
bibechana-57732	20	23	https://doi.org/10.3126/bibechana.v20i3.57732	https://doi.org/10.3126/bibechana.v20i3.57732	NOUN
bibechana-57732	20	24	https://creativecommons.org/licenses/by-nc/4.0/	https://creativecommons.org/licenses/by-nc/4.0/	PROPN
bibechana-57732	20	25	https://creativecommons.org/licenses/by-nc/4.0/	https://creativecommons.org/licenses/by-nc/4.0/	PROPN
bibechana-57732	20	26	bhupendra	bhupendra	PROPN
bibechana-57732	20	27	sharma	sharma	PROPN
bibechana-57732	20	28	et	et	PROPN
bibechana-57732	20	29	al./	al./	ADV
bibechana-57732	20	30	bibechana	bibechana	PROPN
bibechana-57732	20	31	20	20	NUM
bibechana-57732	20	32	(	(	PUNCT
bibechana-57732	20	33	2023	2023	NUM
bibechana-57732	20	34	)	)	PUNCT
bibechana-57732	20	35	267	267	NUM
bibechana-57732	20	36	-	-	SYM
bibechana-57732	20	37	274	274	NUM
bibechana-57732	20	38	268	268	NUM
bibechana-57732	20	39	predict	predict	VERB
bibechana-57732	20	40	the	the	DET
bibechana-57732	20	41	particular	particular	ADJ
bibechana-57732	20	42	properties	property	NOUN
bibechana-57732	20	43	of	of	ADP
bibechana-57732	20	44	materials	material	NOUN
bibechana-57732	20	45	and	and	CCONJ
bibechana-57732	20	46	improve	improve	VERB
bibechana-57732	20	47	the	the	DET
bibechana-57732	20	48	material	material	NOUN
bibechana-57732	20	49	characterization	characterization	NOUN
bibechana-57732	20	50	techniques	technique	NOUN
bibechana-57732	20	51	.	.	PUNCT
bibechana-57732	21	1	the	the	DET
bibechana-57732	21	2	most	most	ADV
bibechana-57732	21	3	favorable	favorable	ADJ
bibechana-57732	21	4	branch	branch	NOUN
bibechana-57732	21	5	of	of	ADP
bibechana-57732	21	6	ai	ai	NOUN
bibechana-57732	21	7	in	in	ADP
bibechana-57732	21	8	material	material	NOUN
bibechana-57732	21	9	science	science	NOUN
bibechana-57732	21	10	is	be	AUX
bibechana-57732	21	11	machine	machine	NOUN
bibechana-57732	21	12	learning	learning	NOUN
bibechana-57732	21	13	(	(	PUNCT
bibechana-57732	21	14	ml	ml	NOUN
bibechana-57732	21	15	)	)	PUNCT
bibechana-57732	22	1	[	[	X
bibechana-57732	22	2	1	1	NUM
bibechana-57732	22	3	]	]	PUNCT
bibechana-57732	22	4	.	.	PUNCT
bibechana-57732	23	1	recently	recently	ADV
bibechana-57732	23	2	,	,	PUNCT
bibechana-57732	23	3	ml	ml	AUX
bibechana-57732	23	4	is	be	AUX
bibechana-57732	23	5	turning	turn	VERB
bibechana-57732	23	6	out	out	ADP
bibechana-57732	23	7	into	into	ADP
bibechana-57732	23	8	a	a	DET
bibechana-57732	23	9	robust	robust	ADJ
bibechana-57732	23	10	approach	approach	NOUN
bibechana-57732	23	11	to	to	PART
bibechana-57732	23	12	study	study	VERB
bibechana-57732	23	13	the	the	DET
bibechana-57732	23	14	materials	material	NOUN
bibechana-57732	23	15	with	with	ADP
bibechana-57732	23	16	extremely	extremely	ADV
bibechana-57732	23	17	fast	fast	ADJ
bibechana-57732	23	18	and	and	CCONJ
bibechana-57732	23	19	economical	economical	ADJ
bibechana-57732	23	20	means	mean	NOUN
bibechana-57732	23	21	.	.	PUNCT
bibechana-57732	24	1	it	it	PRON
bibechana-57732	24	2	works	work	VERB
bibechana-57732	24	3	on	on	ADP
bibechana-57732	24	4	the	the	DET
bibechana-57732	24	5	basis	basis	NOUN
bibechana-57732	24	6	of	of	ADP
bibechana-57732	24	7	neural	neural	ADJ
bibechana-57732	24	8	networks	network	NOUN
bibechana-57732	24	9	(	(	PUNCT
bibechana-57732	24	10	nn	nn	NOUN
bibechana-57732	24	11	)	)	PUNCT
bibechana-57732	24	12	which	which	PRON
bibechana-57732	24	13	performs	perform	VERB
bibechana-57732	24	14	the	the	DET
bibechana-57732	24	15	prediction	prediction	NOUN
bibechana-57732	24	16	of	of	ADP
bibechana-57732	24	17	required	require	VERB
bibechana-57732	24	18	variables	variable	NOUN
bibechana-57732	24	19	on	on	ADP
bibechana-57732	24	20	the	the	DET
bibechana-57732	24	21	basis	basis	NOUN
bibechana-57732	24	22	of	of	ADP
bibechana-57732	24	23	training	training	NOUN
bibechana-57732	24	24	data	datum	NOUN
bibechana-57732	24	25	.	.	PUNCT
bibechana-57732	25	1	the	the	DET
bibechana-57732	25	2	first	first	ADJ
bibechana-57732	25	3	principle	principle	ADJ
bibechana-57732	25	4	calculation	calculation	NOUN
bibechana-57732	25	5	of	of	ADP
bibechana-57732	25	6	materials	material	NOUN
bibechana-57732	25	7	could	could	AUX
bibechana-57732	25	8	now	now	ADV
bibechana-57732	25	9	be	be	AUX
bibechana-57732	25	10	enhanced	enhance	VERB
bibechana-57732	25	11	by	by	ADP
bibechana-57732	25	12	ml	ml	NOUN
bibechana-57732	25	13	.	.	PUNCT
bibechana-57732	26	1	we	we	PRON
bibechana-57732	26	2	specifically	specifically	ADV
bibechana-57732	26	3	design	design	VERB
bibechana-57732	26	4	ml	ml	NOUN
bibechana-57732	26	5	models	model	NOUN
bibechana-57732	26	6	to	to	PART
bibechana-57732	26	7	generate	generate	VERB
bibechana-57732	26	8	predictions	prediction	NOUN
bibechana-57732	26	9	based	base	VERB
bibechana-57732	26	10	on	on	ADP
bibechana-57732	26	11	the	the	DET
bibechana-57732	26	12	correlations	correlation	NOUN
bibechana-57732	26	13	of	of	ADP
bibechana-57732	26	14	the	the	DET
bibechana-57732	26	15	database	database	NOUN
bibechana-57732	26	16	through	through	ADP
bibechana-57732	26	17	statistical	statistical	ADJ
bibechana-57732	26	18	and	and	CCONJ
bibechana-57732	26	19	probabilistic	probabilistic	ADJ
bibechana-57732	26	20	methods	method	NOUN
bibechana-57732	26	21	[	[	X
bibechana-57732	26	22	2	2	NUM
bibechana-57732	26	23	]	]	PUNCT
bibechana-57732	26	24	.	.	PUNCT
bibechana-57732	27	1	on	on	ADP
bibechana-57732	27	2	the	the	DET
bibechana-57732	27	3	basis	basis	NOUN
bibechana-57732	27	4	of	of	ADP
bibechana-57732	27	5	nature	nature	NOUN
bibechana-57732	27	6	of	of	ADP
bibechana-57732	27	7	data	datum	NOUN
bibechana-57732	27	8	labeling	labeling	NOUN
bibechana-57732	27	9	in	in	ADP
bibechana-57732	27	10	material	material	NOUN
bibechana-57732	27	11	science	science	NOUN
bibechana-57732	27	12	,	,	PUNCT
bibechana-57732	27	13	ml	ml	VERB
bibechana-57732	27	14	can	can	AUX
bibechana-57732	27	15	be	be	AUX
bibechana-57732	27	16	divided	divide	VERB
bibechana-57732	27	17	into	into	ADP
bibechana-57732	27	18	two	two	NUM
bibechana-57732	27	19	categories	category	NOUN
bibechana-57732	27	20	:	:	PUNCT
bibechana-57732	27	21	supervised	supervised	ADJ
bibechana-57732	27	22	learning	learning	NOUN
bibechana-57732	27	23	and	and	CCONJ
bibechana-57732	27	24	unsupervised	unsupervised	ADJ
bibechana-57732	27	25	learning	learning	NOUN
bibechana-57732	27	26	.	.	PUNCT
bibechana-57732	28	1	supervised	supervised	ADJ
bibechana-57732	28	2	learning	learning	NOUN
bibechana-57732	28	3	is	be	AUX
bibechana-57732	28	4	a	a	DET
bibechana-57732	28	5	ml	ml	NOUN
bibechana-57732	28	6	approach	approach	NOUN
bibechana-57732	28	7	which	which	PRON
bibechana-57732	28	8	is	be	AUX
bibechana-57732	28	9	used	use	VERB
bibechana-57732	28	10	to	to	PART
bibechana-57732	28	11	evaluate	evaluate	VERB
bibechana-57732	28	12	an	an	DET
bibechana-57732	28	13	unknown	unknown	ADJ
bibechana-57732	28	14	mapping	mapping	NOUN
bibechana-57732	28	15	from	from	ADP
bibechana-57732	28	16	known	know	VERB
bibechana-57732	28	17	samples	sample	NOUN
bibechana-57732	28	18	where	where	SCONJ
bibechana-57732	28	19	the	the	DET
bibechana-57732	28	20	output	output	NOUN
bibechana-57732	28	21	is	be	AUX
bibechana-57732	28	22	labeled	label	VERB
bibechana-57732	28	23	(	(	PUNCT
bibechana-57732	28	24	examples	example	NOUN
bibechana-57732	28	25	are	be	AUX
bibechana-57732	28	26	classification	classification	NOUN
bibechana-57732	28	27	and	and	CCONJ
bibechana-57732	28	28	regression	regression	NOUN
bibechana-57732	28	29	)	)	PUNCT
bibechana-57732	28	30	.	.	PUNCT
bibechana-57732	29	1	this	this	PRON
bibechana-57732	29	2	is	be	AUX
bibechana-57732	29	3	like	like	ADP
bibechana-57732	29	4	‘	'	PUNCT
bibechana-57732	29	5	y	y	NOUN
bibechana-57732	29	6	’	'	PUNCT
bibechana-57732	29	7	(	(	PUNCT
bibechana-57732	29	8	dependent	dependent	ADJ
bibechana-57732	29	9	variable	variable	NOUN
bibechana-57732	29	10	)	)	PUNCT
bibechana-57732	29	11	is	be	AUX
bibechana-57732	29	12	predicted	predict	VERB
bibechana-57732	29	13	with	with	ADP
bibechana-57732	29	14	the	the	DET
bibechana-57732	29	15	knowledge	knowledge	NOUN
bibechana-57732	29	16	of	of	ADP
bibechana-57732	29	17	‘	'	PUNCT
bibechana-57732	29	18	x	x	X
bibechana-57732	29	19	’	'	PUNCT
bibechana-57732	29	20	(	(	PUNCT
bibechana-57732	29	21	independent	independent	ADJ
bibechana-57732	29	22	variable	variable	NOUN
bibechana-57732	29	23	)	)	PUNCT
bibechana-57732	29	24	trained	train	VERB
bibechana-57732	29	25	previously	previously	ADV
bibechana-57732	29	26	[	[	X
bibechana-57732	29	27	3	3	NUM
bibechana-57732	29	28	]	]	PUNCT
bibechana-57732	29	29	.	.	PUNCT
bibechana-57732	30	1	in	in	ADP
bibechana-57732	30	2	classification	classification	NOUN
bibechana-57732	30	3	,	,	PUNCT
bibechana-57732	30	4	there	there	PRON
bibechana-57732	30	5	are	be	VERB
bibechana-57732	30	6	p	p	NOUN
bibechana-57732	30	7	predictor	predictor	NOUN
bibechana-57732	30	8	variables	variable	NOUN
bibechana-57732	30	9	x1	x1	PROPN
bibechana-57732	30	10	,	,	PUNCT
bibechana-57732	30	11	x2	x2	PROPN
bibechana-57732	30	12	...	...	PUNCT
bibechana-57732	30	13	xp	xp	INTJ
bibechana-57732	30	14	on	on	ADP
bibechana-57732	30	15	which	which	PRON
bibechana-57732	30	16	takes	take	VERB
bibechana-57732	30	17	values	value	NOUN
bibechana-57732	30	18	1	1	NUM
bibechana-57732	30	19	,	,	PUNCT
bibechana-57732	30	20	2	2	NUM
bibechana-57732	30	21	,	,	PUNCT
bibechana-57732	30	22	...	...	PUNCT
bibechana-57732	30	23	,	,	PUNCT
bibechana-57732	30	24	k	k	PROPN
bibechana-57732	30	25	are	be	AUX
bibechana-57732	30	26	trained	train	VERB
bibechana-57732	30	27	.	.	PUNCT
bibechana-57732	31	1	our	our	PRON
bibechana-57732	31	2	motive	motive	NOUN
bibechana-57732	31	3	is	be	AUX
bibechana-57732	31	4	to	to	PART
bibechana-57732	31	5	find	find	VERB
bibechana-57732	31	6	a	a	DET
bibechana-57732	31	7	model	model	NOUN
bibechana-57732	31	8	to	to	PART
bibechana-57732	31	9	predict	predict	VERB
bibechana-57732	31	10	the	the	DET
bibechana-57732	31	11	values	value	NOUN
bibechana-57732	31	12	of	of	ADP
bibechana-57732	31	13	’	'	PUNCT
bibechana-57732	31	14	y	y	NOUN
bibechana-57732	31	15	’	'	PUNCT
bibechana-57732	31	16	from	from	ADP
bibechana-57732	31	17	new	new	ADJ
bibechana-57732	31	18	values	value	NOUN
bibechana-57732	31	19	of	of	ADP
bibechana-57732	31	20	’	'	PUNCT
bibechana-57732	31	21	x	x	SYM
bibechana-57732	31	22	’	'	PUNCT
bibechana-57732	31	23	.	.	PUNCT
bibechana-57732	32	1	the	the	DET
bibechana-57732	32	2	classification	classification	NOUN
bibechana-57732	32	3	tree	tree	NOUN
bibechana-57732	32	4	algorithm	algorithm	NOUN
bibechana-57732	32	5	is	be	AUX
bibechana-57732	32	6	used	use	VERB
bibechana-57732	32	7	to	to	PART
bibechana-57732	32	8	identify	identify	VERB
bibechana-57732	32	9	the	the	DET
bibechana-57732	32	10	categorical	categorical	ADJ
bibechana-57732	32	11	target	target	NOUN
bibechana-57732	32	12	variable	variable	NOUN
bibechana-57732	32	13	of	of	ADP
bibechana-57732	32	14	the	the	DET
bibechana-57732	32	15	most	most	ADV
bibechana-57732	32	16	probable	probable	ADJ
bibechana-57732	32	17	“	"	PUNCT
bibechana-57732	32	18	class	class	NOUN
bibechana-57732	32	19	”	"	PUNCT
bibechana-57732	33	1	[	[	X
bibechana-57732	33	2	4	4	NUM
bibechana-57732	33	3	]	]	PUNCT
bibechana-57732	33	4	.	.	PUNCT
bibechana-57732	34	1	also	also	ADV
bibechana-57732	34	2	in	in	ADP
bibechana-57732	34	3	regression	regression	NOUN
bibechana-57732	34	4	models	model	NOUN
bibechana-57732	34	5	,	,	PUNCT
bibechana-57732	34	6	the	the	DET
bibechana-57732	34	7	dependent	dependent	ADJ
bibechana-57732	34	8	variable	variable	NOUN
bibechana-57732	34	9	is	be	AUX
bibechana-57732	34	10	estimated	estimate	VERB
bibechana-57732	34	11	due	due	ADP
bibechana-57732	34	12	to	to	ADP
bibechana-57732	34	13	the	the	DET
bibechana-57732	34	14	range	range	NOUN
bibechana-57732	34	15	of	of	ADP
bibechana-57732	34	16	independent	independent	ADJ
bibechana-57732	34	17	variable	variable	NOUN
bibechana-57732	34	18	.	.	PUNCT
bibechana-57732	35	1	the	the	DET
bibechana-57732	35	2	general	general	ADJ
bibechana-57732	35	3	linear	linear	PROPN
bibechana-57732	35	4	regression	regression	NOUN
bibechana-57732	35	5	model	model	NOUN
bibechana-57732	35	6	is	be	AUX
bibechana-57732	35	7	:	:	PUNCT
bibechana-57732	35	8	y	y	PROPN
bibechana-57732	35	9	=	=	SYM
bibechana-57732	35	10	β0	β0	PROPN
bibechana-57732	35	11	+	+	CCONJ
bibechana-57732	35	12	β1x+	β1x+	PROPN
bibechana-57732	35	13	ε	ε	PROPN
bibechana-57732	35	14	where	where	SCONJ
bibechana-57732	35	15	y	y	PROPN
bibechana-57732	35	16	is	be	AUX
bibechana-57732	35	17	the	the	DET
bibechana-57732	35	18	dependent	dependent	ADJ
bibechana-57732	35	19	variable	variable	NOUN
bibechana-57732	35	20	and	and	CCONJ
bibechana-57732	35	21	x	x	NOUN
bibechana-57732	35	22	is	be	AUX
bibechana-57732	35	23	independent	independent	ADJ
bibechana-57732	35	24	variable	variable	NOUN
bibechana-57732	35	25	.	.	PUNCT
bibechana-57732	36	1	β0	β0	PROPN
bibechana-57732	36	2	is	be	AUX
bibechana-57732	36	3	the	the	DET
bibechana-57732	36	4	constant	constant	ADJ
bibechana-57732	36	5	term	term	NOUN
bibechana-57732	36	6	which	which	PRON
bibechana-57732	36	7	is	be	AUX
bibechana-57732	36	8	the	the	DET
bibechana-57732	36	9	intercept	intercept	NOUN
bibechana-57732	36	10	of	of	ADP
bibechana-57732	36	11	the	the	DET
bibechana-57732	36	12	regression	regression	NOUN
bibechana-57732	36	13	line	line	NOUN
bibechana-57732	36	14	on	on	ADP
bibechana-57732	36	15	the	the	DET
bibechana-57732	36	16	vertical	vertical	ADJ
bibechana-57732	36	17	axis	axis	NOUN
bibechana-57732	36	18	.	.	PUNCT
bibechana-57732	37	1	β1	β1	NOUN
bibechana-57732	37	2	is	be	AUX
bibechana-57732	37	3	regression	regression	NOUN
bibechana-57732	37	4	coefficient	coefficient	NOUN
bibechana-57732	37	5	which	which	PRON
bibechana-57732	37	6	is	be	AUX
bibechana-57732	37	7	actually	actually	ADV
bibechana-57732	37	8	the	the	DET
bibechana-57732	37	9	slope	slope	NOUN
bibechana-57732	37	10	of	of	ADP
bibechana-57732	37	11	the	the	DET
bibechana-57732	37	12	regression	regression	NOUN
bibechana-57732	37	13	line	line	NOUN
bibechana-57732	37	14	.	.	PUNCT
bibechana-57732	38	1	ε	ε	PROPN
bibechana-57732	38	2	is	be	AUX
bibechana-57732	38	3	the	the	DET
bibechana-57732	38	4	random	random	ADJ
bibechana-57732	38	5	error	error	NOUN
bibechana-57732	38	6	which	which	PRON
bibechana-57732	38	7	can	can	AUX
bibechana-57732	38	8	be	be	AUX
bibechana-57732	38	9	used	use	VERB
bibechana-57732	38	10	to	to	PART
bibechana-57732	38	11	express	express	VERB
bibechana-57732	38	12	the	the	DET
bibechana-57732	38	13	effect	effect	NOUN
bibechana-57732	38	14	of	of	ADP
bibechana-57732	38	15	random	random	ADJ
bibechana-57732	38	16	factors	factor	NOUN
bibechana-57732	38	17	on	on	ADP
bibechana-57732	38	18	x	x	PUNCT
bibechana-57732	39	1	[	[	X
bibechana-57732	39	2	5	5	NUM
bibechana-57732	39	3	]	]	PUNCT
bibechana-57732	39	4	.	.	PUNCT
bibechana-57732	40	1	meanwhile	meanwhile	ADV
bibechana-57732	40	2	,	,	PUNCT
bibechana-57732	40	3	in	in	ADP
bibechana-57732	40	4	unsupervised	unsupervised	ADJ
bibechana-57732	40	5	learning	learning	NOUN
bibechana-57732	40	6	only	only	ADV
bibechana-57732	40	7	input	input	NOUN
bibechana-57732	40	8	samples	sample	NOUN
bibechana-57732	40	9	are	be	AUX
bibechana-57732	40	10	provided	provide	VERB
bibechana-57732	40	11	to	to	ADP
bibechana-57732	40	12	the	the	DET
bibechana-57732	40	13	learning	learn	VERB
bibechana-57732	40	14	system	system	NOUN
bibechana-57732	40	15	to	to	PART
bibechana-57732	40	16	make	make	VERB
bibechana-57732	40	17	cluster	cluster	NOUN
bibechana-57732	40	18	and	and	CCONJ
bibechana-57732	40	19	to	to	PART
bibechana-57732	40	20	estimate	estimate	VERB
bibechana-57732	40	21	probability	probability	NOUN
bibechana-57732	40	22	density	density	NOUN
bibechana-57732	40	23	function	function	NOUN
bibechana-57732	40	24	.	.	PUNCT
bibechana-57732	41	1	hence	hence	ADV
bibechana-57732	41	2	,	,	PUNCT
bibechana-57732	41	3	the	the	DET
bibechana-57732	41	4	main	main	ADJ
bibechana-57732	41	5	goal	goal	NOUN
bibechana-57732	41	6	of	of	ADP
bibechana-57732	41	7	this	this	DET
bibechana-57732	41	8	learning	learning	NOUN
bibechana-57732	41	9	system	system	NOUN
bibechana-57732	41	10	is	be	AUX
bibechana-57732	41	11	to	to	PART
bibechana-57732	41	12	analyze	analyze	VERB
bibechana-57732	41	13	the	the	DET
bibechana-57732	41	14	data	datum	NOUN
bibechana-57732	41	15	,	,	PUNCT
bibechana-57732	41	16	recognize	recognize	VERB
bibechana-57732	41	17	a	a	DET
bibechana-57732	41	18	pattern	pattern	NOUN
bibechana-57732	41	19	and	and	CCONJ
bibechana-57732	41	20	finally	finally	ADV
bibechana-57732	41	21	structure	structure	VERB
bibechana-57732	41	22	within	within	ADP
bibechana-57732	41	23	the	the	DET
bibechana-57732	41	24	available	available	ADJ
bibechana-57732	41	25	set	set	NOUN
bibechana-57732	41	26	of	of	ADP
bibechana-57732	41	27	data	data	PROPN
bibechana-57732	41	28	.	.	PUNCT
bibechana-57732	42	1	figure	figure	NOUN
bibechana-57732	42	2	1	1	NUM
bibechana-57732	42	3	:	:	PUNCT
bibechana-57732	42	4	basic	basic	ADJ
bibechana-57732	42	5	architecture	architecture	NOUN
bibechana-57732	42	6	of	of	ADP
bibechana-57732	42	7	supervised	supervised	ADJ
bibechana-57732	42	8	learning	learning	NOUN
bibechana-57732	42	9	.	.	PUNCT
bibechana-57732	43	1	figure	figure	VERB
bibechana-57732	43	2	2	2	NUM
bibechana-57732	43	3	:	:	PUNCT
bibechana-57732	43	4	schematic	schematic	ADJ
bibechana-57732	43	5	picture	picture	NOUN
bibechana-57732	43	6	of	of	ADP
bibechana-57732	43	7	stepwise	stepwise	NOUN
bibechana-57732	43	8	machine	machine	NOUN
bibechana-57732	43	9	learning	learning	NOUN
bibechana-57732	43	10	.	.	PUNCT
bibechana-57732	44	1	1.1	1.1	NUM
bibechana-57732	44	2	process	process	NOUN
bibechana-57732	44	3	of	of	ADP
bibechana-57732	44	4	machine	machine	NOUN
bibechana-57732	44	5	learning	learn	VERB
bibechana-57732	44	6	the	the	DET
bibechana-57732	44	7	major	major	ADJ
bibechana-57732	44	8	steps	step	NOUN
bibechana-57732	44	9	involved	involve	VERB
bibechana-57732	44	10	in	in	ADP
bibechana-57732	44	11	the	the	DET
bibechana-57732	44	12	process	process	NOUN
bibechana-57732	44	13	of	of	ADP
bibechana-57732	44	14	ml	ml	NOUN
bibechana-57732	44	15	are	be	AUX
bibechana-57732	44	16	:	:	PUNCT
bibechana-57732	44	17	[	[	X
bibechana-57732	44	18	6	6	NUM
bibechana-57732	44	19	]	]	PUNCT
bibechana-57732	44	20	•	•	NUM
bibechana-57732	44	21	identify	identify	VERB
bibechana-57732	44	22	the	the	DET
bibechana-57732	44	23	problem	problem	NOUN
bibechana-57732	44	24	you	you	PRON
bibechana-57732	44	25	want	want	VERB
bibechana-57732	44	26	to	to	PART
bibechana-57732	44	27	solve	solve	VERB
bibechana-57732	44	28	using	use	VERB
bibechana-57732	44	29	ml	ml	NOUN
bibechana-57732	44	30	•	•	ADJ
bibechana-57732	44	31	collection	collection	NOUN
bibechana-57732	44	32	of	of	ADP
bibechana-57732	44	33	training	training	NOUN
bibechana-57732	44	34	data	datum	NOUN
bibechana-57732	44	35	for	for	ADP
bibechana-57732	44	36	the	the	DET
bibechana-57732	44	37	process	process	NOUN
bibechana-57732	44	38	•	•	NOUN
bibechana-57732	44	39	selection	selection	NOUN
bibechana-57732	44	40	of	of	ADP
bibechana-57732	44	41	ml	ml	NOUN
bibechana-57732	44	42	model	model	NOUN
bibechana-57732	44	43	•	•	NOUN
bibechana-57732	44	44	preparation	preparation	NOUN
bibechana-57732	44	45	of	of	ADP
bibechana-57732	44	46	accumulated	accumulate	VERB
bibechana-57732	44	47	data	datum	NOUN
bibechana-57732	44	48	to	to	PART
bibechana-57732	44	49	train	train	VERB
bibechana-57732	44	50	in	in	ADP
bibechana-57732	44	51	ml	ml	ADP
bibechana-57732	44	52	model	model	NOUN
bibechana-57732	44	53	•	•	NUM
bibechana-57732	44	54	test	test	NOUN
bibechana-57732	44	55	your	your	PRON
bibechana-57732	44	56	ml	ml	NOUN
bibechana-57732	44	57	system	system	NOUN
bibechana-57732	44	58	with	with	ADP
bibechana-57732	44	59	test	test	NOUN
bibechana-57732	44	60	data	data	PROPN
bibechana-57732	44	61	bhupendra	bhupendra	PROPN
bibechana-57732	44	62	sharma	sharma	PROPN
bibechana-57732	44	63	et	et	PROPN
bibechana-57732	44	64	al./	al./	ADV
bibechana-57732	44	65	bibechana	bibechana	PROPN
bibechana-57732	44	66	20	20	NUM
bibechana-57732	44	67	(	(	PUNCT
bibechana-57732	44	68	2023	2023	NUM
bibechana-57732	44	69	)	)	PUNCT
bibechana-57732	44	70	267	267	NUM
bibechana-57732	44	71	-	-	SYM
bibechana-57732	44	72	274	274	NUM
bibechana-57732	44	73	269	269	NUM
bibechana-57732	44	74	•	•	NOUN
bibechana-57732	44	75	validation	validation	NOUN
bibechana-57732	44	76	and	and	CCONJ
bibechana-57732	44	77	improvement	improvement	NOUN
bibechana-57732	44	78	of	of	ADP
bibechana-57732	44	79	the	the	DET
bibechana-57732	44	80	ml	ml	PROPN
bibechana-57732	44	81	model	model	NOUN
bibechana-57732	44	82	.	.	PUNCT
bibechana-57732	45	1	usually	usually	ADV
bibechana-57732	45	2	,	,	PUNCT
bibechana-57732	45	3	we	we	PRON
bibechana-57732	45	4	need	need	VERB
bibechana-57732	45	5	to	to	PART
bibechana-57732	45	6	search	search	VERB
bibechana-57732	45	7	more	more	ADJ
bibechana-57732	45	8	training	training	NOUN
bibechana-57732	45	9	data	datum	NOUN
bibechana-57732	45	10	during	during	ADP
bibechana-57732	45	11	this	this	DET
bibechana-57732	45	12	iterative	iterative	NOUN
bibechana-57732	45	13	loop	loop	NOUN
bibechana-57732	45	14	.	.	PUNCT
bibechana-57732	46	1	1.2	1.2	NUM
bibechana-57732	46	2	density	density	NOUN
bibechana-57732	46	3	functional	functional	ADJ
bibechana-57732	46	4	theory	theory	NOUN
bibechana-57732	46	5	to	to	ADP
bibechana-57732	46	6	machine	machine	NOUN
bibechana-57732	46	7	learning	learning	NOUN
bibechana-57732	46	8	recently	recently	ADV
bibechana-57732	46	9	,	,	PUNCT
bibechana-57732	46	10	we	we	PRON
bibechana-57732	46	11	have	have	AUX
bibechana-57732	46	12	entered	enter	VERB
bibechana-57732	46	13	the	the	DET
bibechana-57732	46	14	fourth	fourth	ADJ
bibechana-57732	46	15	paradigm	paradigm	NOUN
bibechana-57732	46	16	of	of	ADP
bibechana-57732	46	17	science	science	NOUN
bibechana-57732	46	18	called	call	VERB
bibechana-57732	46	19	data	data	NOUN
bibechana-57732	46	20	-	-	PUNCT
bibechana-57732	46	21	driven	drive	VERB
bibechana-57732	46	22	science	science	NOUN
bibechana-57732	46	23	led	lead	VERB
bibechana-57732	46	24	by	by	ADP
bibechana-57732	46	25	the	the	DET
bibechana-57732	46	26	experiments	experiment	NOUN
bibechana-57732	46	27	and	and	CCONJ
bibechana-57732	46	28	simulations	simulation	NOUN
bibechana-57732	46	29	.	.	PUNCT
bibechana-57732	47	1	the	the	DET
bibechana-57732	47	2	influence	influence	NOUN
bibechana-57732	47	3	of	of	ADP
bibechana-57732	47	4	this	this	DET
bibechana-57732	47	5	paradigm	paradigm	NOUN
bibechana-57732	47	6	has	have	AUX
bibechana-57732	47	7	led	lead	VERB
bibechana-57732	47	8	to	to	ADP
bibechana-57732	47	9	the	the	DET
bibechana-57732	47	10	rise	rise	NOUN
bibechana-57732	47	11	of	of	ADP
bibechana-57732	47	12	new	new	ADJ
bibechana-57732	47	13	field	field	NOUN
bibechana-57732	47	14	called	call	VERB
bibechana-57732	47	15	material	material	NOUN
bibechana-57732	47	16	informatics	informatic	NOUN
bibechana-57732	47	17	.	.	PUNCT
bibechana-57732	48	1	the	the	DET
bibechana-57732	48	2	objective	objective	NOUN
bibechana-57732	48	3	of	of	ADP
bibechana-57732	48	4	material	material	NOUN
bibechana-57732	48	5	informatics	informatic	NOUN
bibechana-57732	48	6	is	be	AUX
bibechana-57732	48	7	to	to	PART
bibechana-57732	48	8	discover	discover	VERB
bibechana-57732	48	9	the	the	DET
bibechana-57732	48	10	relationship	relationship	NOUN
bibechana-57732	48	11	between	between	ADP
bibechana-57732	48	12	known	know	VERB
bibechana-57732	48	13	standard	standard	ADJ
bibechana-57732	48	14	features	feature	NOUN
bibechana-57732	48	15	and	and	CCONJ
bibechana-57732	48	16	materials	material	NOUN
bibechana-57732	48	17	properties	property	NOUN
bibechana-57732	48	18	such	such	ADJ
bibechana-57732	48	19	as	as	ADP
bibechana-57732	48	20	structure	structure	NOUN
bibechana-57732	48	21	,	,	PUNCT
bibechana-57732	48	22	symmetry	symmetry	NOUN
bibechana-57732	48	23	,	,	PUNCT
bibechana-57732	48	24	composition	composition	NOUN
bibechana-57732	48	25	,	,	PUNCT
bibechana-57732	48	26	and	and	CCONJ
bibechana-57732	48	27	properties	property	NOUN
bibechana-57732	48	28	of	of	ADP
bibechana-57732	48	29	the	the	DET
bibechana-57732	48	30	constituent	constituent	NOUN
bibechana-57732	48	31	elements	element	NOUN
bibechana-57732	48	32	.	.	PUNCT
bibechana-57732	49	1	the	the	DET
bibechana-57732	49	2	imperceptible	imperceptible	ADJ
bibechana-57732	49	3	feature	feature	NOUN
bibechana-57732	49	4	property	property	NOUN
bibechana-57732	49	5	relationships	relationship	NOUN
bibechana-57732	49	6	beyond	beyond	ADP
bibechana-57732	49	7	human	human	ADJ
bibechana-57732	49	8	capacities	capacity	NOUN
bibechana-57732	49	9	are	be	AUX
bibechana-57732	49	10	recognized	recognize	VERB
bibechana-57732	49	11	through	through	ADP
bibechana-57732	49	12	ml	ml	NOUN
bibechana-57732	49	13	process	process	NOUN
bibechana-57732	49	14	[	[	X
bibechana-57732	49	15	7	7	NUM
bibechana-57732	49	16	]	]	PUNCT
bibechana-57732	49	17	.	.	PUNCT
bibechana-57732	50	1	a	a	DET
bibechana-57732	50	2	combination	combination	NOUN
bibechana-57732	50	3	of	of	ADP
bibechana-57732	50	4	density	density	NOUN
bibechana-57732	50	5	functional	functional	ADJ
bibechana-57732	50	6	theory	theory	NOUN
bibechana-57732	50	7	and	and	CCONJ
bibechana-57732	50	8	machine	machine	NOUN
bibechana-57732	50	9	learning	learn	VERB
bibechana-57732	50	10	techniques	technique	NOUN
bibechana-57732	50	11	provide	provide	VERB
bibechana-57732	50	12	a	a	DET
bibechana-57732	50	13	practical	practical	ADJ
bibechana-57732	50	14	method	method	NOUN
bibechana-57732	50	15	to	to	PART
bibechana-57732	50	16	excavate	excavate	VERB
bibechana-57732	50	17	feature	feature	NOUN
bibechana-57732	50	18	-	-	PUNCT
bibechana-57732	50	19	property	property	NOUN
bibechana-57732	50	20	relationships	relationship	NOUN
bibechana-57732	50	21	much	much	ADV
bibechana-57732	50	22	more	more	ADV
bibechana-57732	50	23	efficiently	efficiently	ADV
bibechana-57732	50	24	than	than	ADP
bibechana-57732	50	25	by	by	ADP
bibechana-57732	50	26	dft	dft	NOUN
bibechana-57732	50	27	or	or	CCONJ
bibechana-57732	50	28	experiments	experiment	NOUN
bibechana-57732	50	29	[	[	X
bibechana-57732	50	30	8	8	NUM
bibechana-57732	50	31	]	]	PUNCT
bibechana-57732	50	32	.	.	PUNCT
bibechana-57732	51	1	as	as	ADP
bibechana-57732	51	2	the	the	DET
bibechana-57732	51	3	fundamental	fundamental	ADJ
bibechana-57732	51	4	mathematical	mathematical	ADJ
bibechana-57732	51	5	model	model	NOUN
bibechana-57732	51	6	of	of	ADP
bibechana-57732	51	7	dft	dft	PROPN
bibechana-57732	51	8	works	work	NOUN
bibechana-57732	51	9	only	only	ADV
bibechana-57732	51	10	for	for	ADP
bibechana-57732	51	11	ground	ground	NOUN
bibechana-57732	51	12	state	state	NOUN
bibechana-57732	51	13	density	density	NOUN
bibechana-57732	51	14	so	so	SCONJ
bibechana-57732	51	15	the	the	DET
bibechana-57732	51	16	study	study	NOUN
bibechana-57732	51	17	of	of	ADP
bibechana-57732	51	18	excited	excited	ADJ
bibechana-57732	51	19	states	state	NOUN
bibechana-57732	51	20	is	be	AUX
bibechana-57732	51	21	limited	limit	VERB
bibechana-57732	51	22	within	within	ADP
bibechana-57732	51	23	this	this	DET
bibechana-57732	51	24	method	method	NOUN
bibechana-57732	51	25	.	.	PUNCT
bibechana-57732	52	1	the	the	DET
bibechana-57732	52	2	strongly	strongly	ADV
bibechana-57732	52	3	correlated	correlate	VERB
bibechana-57732	52	4	systems	system	NOUN
bibechana-57732	52	5	,	,	PUNCT
bibechana-57732	52	6	such	such	ADJ
bibechana-57732	52	7	as	as	ADP
bibechana-57732	52	8	d	d	NOUN
bibechana-57732	52	9	-	-	NOUN
bibechana-57732	52	10	electron	electron	NOUN
bibechana-57732	52	11	in	in	ADP
bibechana-57732	52	12	transition	transition	NOUN
bibechana-57732	52	13	metal	metal	NOUN
bibechana-57732	52	14	oxides	oxide	NOUN
bibechana-57732	52	15	(	(	PUNCT
bibechana-57732	52	16	tmo	tmo	NOUN
bibechana-57732	52	17	)	)	PUNCT
bibechana-57732	52	18	are	be	AUX
bibechana-57732	52	19	solved	solve	VERB
bibechana-57732	52	20	with	with	ADP
bibechana-57732	52	21	supplemental	supplemental	ADJ
bibechana-57732	52	22	theories	theory	NOUN
bibechana-57732	52	23	like	like	ADP
bibechana-57732	52	24	hubbard	hubbard	NOUN
bibechana-57732	52	25	parameter	parameter	NOUN
bibechana-57732	52	26	(	(	PUNCT
bibechana-57732	52	27	u	u	NOUN
bibechana-57732	52	28	)	)	PUNCT
bibechana-57732	52	29	.	.	PUNCT
bibechana-57732	53	1	to	to	PART
bibechana-57732	53	2	extend	extend	VERB
bibechana-57732	53	3	the	the	DET
bibechana-57732	53	4	proficiency	proficiency	NOUN
bibechana-57732	53	5	of	of	ADP
bibechana-57732	53	6	dft	dft	PROPN
bibechana-57732	53	7	,	,	PUNCT
bibechana-57732	53	8	various	various	ADJ
bibechana-57732	53	9	auxiliary	auxiliary	ADJ
bibechana-57732	53	10	code	code	NOUN
bibechana-57732	53	11	based	base	VERB
bibechana-57732	53	12	models	model	NOUN
bibechana-57732	53	13	are	be	AUX
bibechana-57732	53	14	integrated	integrate	VERB
bibechana-57732	53	15	with	with	ADP
bibechana-57732	53	16	dft	dft	PROPN
bibechana-57732	53	17	codes	code	NOUN
bibechana-57732	53	18	such	such	ADJ
bibechana-57732	53	19	as	as	ADP
bibechana-57732	53	20	vasp	vasp	NOUN
bibechana-57732	53	21	,	,	PUNCT
bibechana-57732	53	22	quantum	quantum	NOUN
bibechana-57732	53	23	espresso	espresso	NOUN
bibechana-57732	53	24	,	,	PUNCT
bibechana-57732	53	25	and	and	CCONJ
bibechana-57732	53	26	wien2k	wien2k	ADV
bibechana-57732	53	27	.	.	PUNCT
bibechana-57732	54	1	these	these	DET
bibechana-57732	54	2	methods	method	NOUN
bibechana-57732	54	3	are	be	AUX
bibechana-57732	54	4	vastly	vastly	ADV
bibechana-57732	54	5	computationally	computationally	ADV
bibechana-57732	54	6	demanding	demanding	ADJ
bibechana-57732	54	7	but	but	CCONJ
bibechana-57732	54	8	consistent	consistent	ADJ
bibechana-57732	54	9	and	and	CCONJ
bibechana-57732	54	10	reliable	reliable	ADJ
bibechana-57732	54	11	.	.	PUNCT
bibechana-57732	55	1	hence	hence	ADV
bibechana-57732	55	2	,	,	PUNCT
bibechana-57732	55	3	the	the	DET
bibechana-57732	55	4	abundant	abundant	ADJ
bibechana-57732	55	5	database	database	NOUN
bibechana-57732	55	6	obtained	obtain	VERB
bibechana-57732	55	7	from	from	ADP
bibechana-57732	55	8	successful	successful	ADJ
bibechana-57732	55	9	dft	dft	PROPN
bibechana-57732	55	10	platforms	platform	NOUN
bibechana-57732	55	11	can	can	AUX
bibechana-57732	55	12	be	be	AUX
bibechana-57732	55	13	fitted	fit	VERB
bibechana-57732	55	14	into	into	ADP
bibechana-57732	55	15	appropriate	appropriate	ADJ
bibechana-57732	55	16	ml	ml	NOUN
bibechana-57732	55	17	models	model	NOUN
bibechana-57732	55	18	to	to	PART
bibechana-57732	55	19	steer	steer	VERB
bibechana-57732	55	20	the	the	DET
bibechana-57732	55	21	discovery	discovery	NOUN
bibechana-57732	55	22	of	of	ADP
bibechana-57732	55	23	complex	complex	ADJ
bibechana-57732	55	24	properties	property	NOUN
bibechana-57732	55	25	of	of	ADP
bibechana-57732	55	26	materials	material	NOUN
bibechana-57732	55	27	[	[	X
bibechana-57732	55	28	7	7	NUM
bibechana-57732	55	29	]	]	PUNCT
bibechana-57732	55	30	.	.	PUNCT
bibechana-57732	56	1	1.3	1.3	NUM
bibechana-57732	56	2	transition	transition	NOUN
bibechana-57732	56	3	metal	metal	NOUN
bibechana-57732	56	4	dichalcogenides	dichalcogenide	NOUN
bibechana-57732	56	5	two	two	NUM
bibechana-57732	56	6	dimensional	dimensional	ADJ
bibechana-57732	56	7	transition	transition	NOUN
bibechana-57732	56	8	metal	metal	NOUN
bibechana-57732	56	9	dichalcogenides	dichalcogenide	NOUN
bibechana-57732	56	10	(	(	PUNCT
bibechana-57732	56	11	2d	2d	NOUN
bibechana-57732	56	12	-	-	PUNCT
bibechana-57732	56	13	tmds	tmds	NOUN
bibechana-57732	56	14	)	)	PUNCT
bibechana-57732	56	15	are	be	AUX
bibechana-57732	56	16	layered	layer	VERB
bibechana-57732	56	17	materials	material	NOUN
bibechana-57732	56	18	with	with	ADP
bibechana-57732	56	19	robust	robust	ADJ
bibechana-57732	56	20	inplane	inplane	NOUN
bibechana-57732	56	21	bonding	bonding	NOUN
bibechana-57732	56	22	and	and	CCONJ
bibechana-57732	56	23	weak	weak	ADJ
bibechana-57732	56	24	van	van	PROPN
bibechana-57732	56	25	der	der	NOUN
bibechana-57732	56	26	waals	waal	NOUN
bibechana-57732	56	27	interactions	interaction	NOUN
bibechana-57732	56	28	between	between	ADP
bibechana-57732	56	29	the	the	DET
bibechana-57732	56	30	planes	plane	NOUN
bibechana-57732	56	31	which	which	PRON
bibechana-57732	56	32	enables	enable	VERB
bibechana-57732	56	33	the	the	DET
bibechana-57732	56	34	exfoliation	exfoliation	NOUN
bibechana-57732	56	35	into	into	ADP
bibechana-57732	56	36	thickness	thickness	NOUN
bibechana-57732	56	37	of	of	ADP
bibechana-57732	56	38	two	two	NUM
bibechana-57732	56	39	dimensional	dimensional	ADJ
bibechana-57732	56	40	layers	layer	NOUN
bibechana-57732	56	41	with	with	ADP
bibechana-57732	56	42	single	single	ADJ
bibechana-57732	56	43	unit	unit	NOUN
bibechana-57732	56	44	cell	cell	NOUN
bibechana-57732	56	45	[	[	X
bibechana-57732	56	46	9	9	NUM
bibechana-57732	56	47	]	]	PUNCT
bibechana-57732	56	48	.	.	PUNCT
bibechana-57732	57	1	tmds	tmds	NOUN
bibechana-57732	57	2	are	be	AUX
bibechana-57732	57	3	an	an	DET
bibechana-57732	57	4	emerging	emerge	VERB
bibechana-57732	57	5	class	class	NOUN
bibechana-57732	57	6	of	of	ADP
bibechana-57732	57	7	materials	material	NOUN
bibechana-57732	57	8	with	with	ADP
bibechana-57732	57	9	highly	highly	ADV
bibechana-57732	57	10	attractive	attractive	ADJ
bibechana-57732	57	11	properties	property	NOUN
bibechana-57732	57	12	such	such	ADJ
bibechana-57732	57	13	as	as	ADP
bibechana-57732	57	14	atomicscale	atomicscale	NOUN
bibechana-57732	57	15	of	of	ADP
bibechana-57732	57	16	thickness	thickness	NOUN
bibechana-57732	57	17	,	,	PUNCT
bibechana-57732	57	18	direct	direct	ADJ
bibechana-57732	57	19	bandgap	bandgap	NOUN
bibechana-57732	57	20	and	and	CCONJ
bibechana-57732	57	21	strong	strong	ADJ
bibechana-57732	57	22	spin	spin	NOUN
bibechana-57732	57	23	orbit	orbit	NOUN
bibechana-57732	57	24	coupling	coupling	NOUN
bibechana-57732	57	25	.	.	PUNCT
bibechana-57732	58	1	hence	hence	ADV
bibechana-57732	58	2	these	these	DET
bibechana-57732	58	3	materials	material	NOUN
bibechana-57732	58	4	accelerate	accelerate	VERB
bibechana-57732	58	5	the	the	DET
bibechana-57732	58	6	fundamental	fundamental	ADJ
bibechana-57732	58	7	studies	study	NOUN
bibechana-57732	58	8	of	of	ADP
bibechana-57732	58	9	novel	novel	ADJ
bibechana-57732	58	10	physical	physical	ADJ
bibechana-57732	58	11	phenomena	phenomenon	NOUN
bibechana-57732	58	12	with	with	ADP
bibechana-57732	58	13	applications	application	NOUN
bibechana-57732	58	14	ranging	range	VERB
bibechana-57732	58	15	from	from	ADP
bibechana-57732	58	16	nano	nano	NOUN
bibechana-57732	58	17	-	-	PUNCT
bibechana-57732	58	18	electronics	electronic	NOUN
bibechana-57732	58	19	and	and	CCONJ
bibechana-57732	58	20	nanophotonics	nanophotonic	NOUN
bibechana-57732	58	21	to	to	ADP
bibechana-57732	58	22	sensing	sense	VERB
bibechana-57732	58	23	and	and	CCONJ
bibechana-57732	58	24	stimulation	stimulation	NOUN
bibechana-57732	58	25	at	at	ADP
bibechana-57732	58	26	the	the	DET
bibechana-57732	58	27	nanoscale	nanoscale	NOUN
bibechana-57732	58	28	[	[	X
bibechana-57732	58	29	10	10	NUM
bibechana-57732	58	30	]	]	PUNCT
bibechana-57732	58	31	.	.	PUNCT
bibechana-57732	59	1	the	the	DET
bibechana-57732	59	2	different	different	ADJ
bibechana-57732	59	3	properties	property	NOUN
bibechana-57732	59	4	of	of	ADP
bibechana-57732	59	5	bulk	bulk	ADJ
bibechana-57732	59	6	tmds	tmds	NOUN
bibechana-57732	59	7	ranges	range	VERB
bibechana-57732	59	8	from	from	ADP
bibechana-57732	59	9	insulators	insulator	NOUN
bibechana-57732	59	10	such	such	ADJ
bibechana-57732	59	11	as	as	ADP
bibechana-57732	59	12	hfs2	hfs2	PROPN
bibechana-57732	59	13	,	,	PUNCT
bibechana-57732	59	14	semiconductors	semiconductor	NOUN
bibechana-57732	59	15	such	such	ADJ
bibechana-57732	59	16	as	as	ADP
bibechana-57732	59	17	mos2	mos2	NOUN
bibechana-57732	59	18	and	and	CCONJ
bibechana-57732	59	19	ws2	ws2	NOUN
bibechana-57732	59	20	,	,	PUNCT
bibechana-57732	59	21	semimetals	semimetal	NOUN
bibechana-57732	59	22	such	such	ADJ
bibechana-57732	59	23	as	as	ADP
bibechana-57732	59	24	wte2	wte2	NOUN
bibechana-57732	59	25	and	and	CCONJ
bibechana-57732	59	26	tise2	tise2	PROPN
bibechana-57732	59	27	,	,	PUNCT
bibechana-57732	59	28	to	to	ADP
bibechana-57732	59	29	true	true	ADJ
bibechana-57732	59	30	metals	metal	NOUN
bibechana-57732	59	31	such	such	ADJ
bibechana-57732	59	32	as	as	ADP
bibechana-57732	59	33	nbs2	nbs2	NOUN
bibechana-57732	59	34	and	and	CCONJ
bibechana-57732	59	35	vse2	vse2	NOUN
bibechana-57732	59	36	.	.	PUNCT
bibechana-57732	60	1	the	the	DET
bibechana-57732	60	2	properties	property	NOUN
bibechana-57732	60	3	are	be	AUX
bibechana-57732	60	4	mostly	mostly	ADV
bibechana-57732	60	5	preserved	preserve	VERB
bibechana-57732	60	6	with	with	ADP
bibechana-57732	60	7	the	the	DET
bibechana-57732	60	8	exfoliation	exfoliation	NOUN
bibechana-57732	60	9	of	of	ADP
bibechana-57732	60	10	such	such	ADJ
bibechana-57732	60	11	materials	material	NOUN
bibechana-57732	60	12	into	into	ADP
bibechana-57732	60	13	mono	mono	NOUN
bibechana-57732	60	14	or	or	CCONJ
bibechana-57732	60	15	few	few	ADJ
bibechana-57732	60	16	layers	layer	NOUN
bibechana-57732	60	17	with	with	ADP
bibechana-57732	60	18	supplemental	supplemental	ADJ
bibechana-57732	60	19	characteristics	characteristic	NOUN
bibechana-57732	60	20	that	that	PRON
bibechana-57732	60	21	emerges	emerge	VERB
bibechana-57732	60	22	from	from	ADP
bibechana-57732	60	23	confinement	confinement	NOUN
bibechana-57732	60	24	[	[	X
bibechana-57732	60	25	11	11	NUM
bibechana-57732	60	26	]	]	PUNCT
bibechana-57732	60	27	.	.	PUNCT
bibechana-57732	61	1	figure	figure	VERB
bibechana-57732	61	2	3	3	NUM
bibechana-57732	61	3	:	:	PUNCT
bibechana-57732	61	4	bulk	bulk	ADJ
bibechana-57732	61	5	crystal	crystal	NOUN
bibechana-57732	61	6	structure	structure	NOUN
bibechana-57732	61	7	of	of	ADP
bibechana-57732	61	8	mos2	mos2	PROPN
bibechana-57732	61	9	.	.	PUNCT
bibechana-57732	62	1	bhupendra	bhupendra	PROPN
bibechana-57732	62	2	sharma	sharma	PROPN
bibechana-57732	62	3	et	et	PROPN
bibechana-57732	62	4	al./	al./	ADV
bibechana-57732	62	5	bibechana	bibechana	PROPN
bibechana-57732	62	6	20	20	NUM
bibechana-57732	62	7	(	(	PUNCT
bibechana-57732	62	8	2023	2023	NUM
bibechana-57732	62	9	)	)	PUNCT
bibechana-57732	62	10	267	267	NUM
bibechana-57732	62	11	-	-	SYM
bibechana-57732	62	12	274	274	NUM
bibechana-57732	62	13	270	270	NUM
bibechana-57732	62	14	2	2	NUM
bibechana-57732	62	15	materials	material	NOUN
bibechana-57732	62	16	and	and	CCONJ
bibechana-57732	62	17	methodology	methodology	NOUN
bibechana-57732	62	18	in	in	ADP
bibechana-57732	62	19	this	this	DET
bibechana-57732	62	20	section	section	NOUN
bibechana-57732	62	21	,	,	PUNCT
bibechana-57732	62	22	the	the	DET
bibechana-57732	62	23	methodology	methodology	NOUN
bibechana-57732	62	24	and	and	CCONJ
bibechana-57732	62	25	the	the	DET
bibechana-57732	62	26	required	require	VERB
bibechana-57732	62	27	programming	programming	NOUN
bibechana-57732	62	28	model	model	NOUN
bibechana-57732	62	29	used	use	VERB
bibechana-57732	62	30	in	in	ADP
bibechana-57732	62	31	our	our	PRON
bibechana-57732	62	32	work	work	NOUN
bibechana-57732	62	33	has	have	AUX
bibechana-57732	62	34	been	be	AUX
bibechana-57732	62	35	described	describe	VERB
bibechana-57732	62	36	.	.	PUNCT
bibechana-57732	63	1	2.1	2.1	NUM
bibechana-57732	63	2	data	datum	NOUN
bibechana-57732	63	3	mining	mining	NOUN
bibechana-57732	63	4	it	it	PRON
bibechana-57732	63	5	is	be	AUX
bibechana-57732	63	6	necessary	necessary	ADJ
bibechana-57732	63	7	to	to	PART
bibechana-57732	63	8	collect	collect	VERB
bibechana-57732	63	9	qualitative	qualitative	ADJ
bibechana-57732	63	10	data	datum	NOUN
bibechana-57732	63	11	for	for	SCONJ
bibechana-57732	63	12	researchers	researcher	NOUN
bibechana-57732	63	13	to	to	PART
bibechana-57732	63	14	create	create	VERB
bibechana-57732	63	15	the	the	DET
bibechana-57732	63	16	model	model	NOUN
bibechana-57732	63	17	for	for	ADP
bibechana-57732	63	18	specific	specific	ADJ
bibechana-57732	63	19	problems	problem	NOUN
bibechana-57732	63	20	.	.	PUNCT
bibechana-57732	64	1	open	open	ADJ
bibechana-57732	64	2	source	source	NOUN
bibechana-57732	64	3	databases	database	NOUN
bibechana-57732	64	4	such	such	ADJ
bibechana-57732	64	5	as	as	ADP
bibechana-57732	64	6	materials	material	NOUN
bibechana-57732	64	7	project	project	NOUN
bibechana-57732	64	8	[	[	X
bibechana-57732	64	9	12	12	NUM
bibechana-57732	64	10	]	]	PUNCT
bibechana-57732	64	11	and	and	CCONJ
bibechana-57732	64	12	open	open	ADJ
bibechana-57732	64	13	quantum	quantum	NOUN
bibechana-57732	64	14	materials	material	NOUN
bibechana-57732	64	15	database	database	NOUN
bibechana-57732	64	16	[	[	X
bibechana-57732	64	17	13	13	NUM
bibechana-57732	64	18	]	]	PUNCT
bibechana-57732	64	19	are	be	AUX
bibechana-57732	64	20	one	one	NUM
bibechana-57732	64	21	of	of	ADP
bibechana-57732	64	22	reliable	reliable	ADJ
bibechana-57732	64	23	and	and	CCONJ
bibechana-57732	64	24	representative	representative	ADJ
bibechana-57732	64	25	databases	database	NOUN
bibechana-57732	64	26	.	.	PUNCT
bibechana-57732	65	1	these	these	DET
bibechana-57732	65	2	databases	database	NOUN
bibechana-57732	65	3	could	could	AUX
bibechana-57732	65	4	be	be	AUX
bibechana-57732	65	5	used	use	VERB
bibechana-57732	65	6	to	to	PART
bibechana-57732	65	7	extract	extract	VERB
bibechana-57732	65	8	the	the	DET
bibechana-57732	65	9	data	datum	NOUN
bibechana-57732	65	10	set	set	VERB
bibechana-57732	65	11	of	of	ADP
bibechana-57732	65	12	the	the	DET
bibechana-57732	65	13	materials	material	NOUN
bibechana-57732	65	14	of	of	ADP
bibechana-57732	65	15	our	our	PRON
bibechana-57732	65	16	concern	concern	NOUN
bibechana-57732	65	17	.	.	PUNCT
bibechana-57732	66	1	once	once	ADV
bibechana-57732	66	2	the	the	DET
bibechana-57732	66	3	collection	collection	NOUN
bibechana-57732	66	4	of	of	ADP
bibechana-57732	66	5	data	datum	NOUN
bibechana-57732	66	6	is	be	AUX
bibechana-57732	66	7	done	do	VERB
bibechana-57732	66	8	,	,	PUNCT
bibechana-57732	66	9	we	we	PRON
bibechana-57732	66	10	need	need	VERB
bibechana-57732	66	11	to	to	PART
bibechana-57732	66	12	clean	clean	VERB
bibechana-57732	66	13	the	the	DET
bibechana-57732	66	14	problems	problem	NOUN
bibechana-57732	66	15	in	in	ADP
bibechana-57732	66	16	data	datum	NOUN
bibechana-57732	66	17	such	such	ADJ
bibechana-57732	66	18	as	as	ADP
bibechana-57732	66	19	the	the	DET
bibechana-57732	66	20	data	datum	NOUN
bibechana-57732	66	21	containing	contain	VERB
bibechana-57732	66	22	abnormal	abnormal	ADJ
bibechana-57732	66	23	or	or	CCONJ
bibechana-57732	66	24	redundant	redundant	ADJ
bibechana-57732	66	25	values	value	NOUN
bibechana-57732	66	26	.	.	PUNCT
bibechana-57732	67	1	this	this	PRON
bibechana-57732	67	2	is	be	AUX
bibechana-57732	67	3	called	call	VERB
bibechana-57732	67	4	data	datum	NOUN
bibechana-57732	67	5	cleaning	cleaning	NOUN
bibechana-57732	67	6	.	.	PUNCT
bibechana-57732	68	1	the	the	DET
bibechana-57732	68	2	data	datum	NOUN
bibechana-57732	68	3	cleaning	clean	VERB
bibechana-57732	68	4	steps	step	NOUN
bibechana-57732	68	5	are	be	AUX
bibechana-57732	68	6	:	:	PUNCT
bibechana-57732	68	7	•	•	NUM
bibechana-57732	68	8	data	datum	NOUN
bibechana-57732	68	9	sampling	sample	VERB
bibechana-57732	68	10	•	•	NOUN
bibechana-57732	68	11	processing	processing	NOUN
bibechana-57732	68	12	of	of	ADP
bibechana-57732	68	13	abnormal	abnormal	ADJ
bibechana-57732	68	14	value	value	NOUN
bibechana-57732	68	15	•	•	NUM
bibechana-57732	68	16	discretization	discretization	NOUN
bibechana-57732	68	17	of	of	ADP
bibechana-57732	68	18	data	data	NOUN
bibechana-57732	68	19	•	•	NOUN
bibechana-57732	68	20	data	datum	NOUN
bibechana-57732	68	21	normalization	normalization	NOUN
bibechana-57732	68	22	data	datum	NOUN
bibechana-57732	68	23	sampling	sample	VERB
bibechana-57732	68	24	allows	allow	VERB
bibechana-57732	68	25	us	we	PRON
bibechana-57732	68	26	to	to	PART
bibechana-57732	68	27	create	create	VERB
bibechana-57732	68	28	prediction	prediction	NOUN
bibechana-57732	68	29	model	model	NOUN
bibechana-57732	68	30	of	of	ADP
bibechana-57732	68	31	high	high	ADJ
bibechana-57732	68	32	performance	performance	NOUN
bibechana-57732	68	33	with	with	ADP
bibechana-57732	68	34	less	less	ADJ
bibechana-57732	68	35	data	datum	NOUN
bibechana-57732	68	36	.	.	PUNCT
bibechana-57732	69	1	thereafter	thereafter	ADV
bibechana-57732	69	2	,	,	PUNCT
bibechana-57732	69	3	the	the	DET
bibechana-57732	69	4	removal	removal	NOUN
bibechana-57732	69	5	of	of	ADP
bibechana-57732	69	6	abnormal	abnormal	ADJ
bibechana-57732	69	7	values	value	NOUN
bibechana-57732	69	8	maintains	maintain	VERB
bibechana-57732	69	9	the	the	DET
bibechana-57732	69	10	accuracy	accuracy	NOUN
bibechana-57732	69	11	of	of	ADP
bibechana-57732	69	12	the	the	DET
bibechana-57732	69	13	model	model	NOUN
bibechana-57732	69	14	.	.	PUNCT
bibechana-57732	70	1	the	the	DET
bibechana-57732	70	2	continuous	continuous	ADJ
bibechana-57732	70	3	features	feature	NOUN
bibechana-57732	70	4	are	be	AUX
bibechana-57732	70	5	reduced	reduce	VERB
bibechana-57732	70	6	by	by	ADP
bibechana-57732	70	7	data	datum	NOUN
bibechana-57732	70	8	discretization	discretization	NOUN
bibechana-57732	70	9	.	.	PUNCT
bibechana-57732	71	1	finally	finally	ADV
bibechana-57732	71	2	,	,	PUNCT
bibechana-57732	71	3	data	datum	NOUN
bibechana-57732	71	4	normalization	normalization	NOUN
bibechana-57732	71	5	is	be	AUX
bibechana-57732	71	6	used	use	VERB
bibechana-57732	71	7	to	to	PART
bibechana-57732	71	8	organize	organize	VERB
bibechana-57732	71	9	the	the	DET
bibechana-57732	71	10	columns	column	NOUN
bibechana-57732	71	11	and	and	CCONJ
bibechana-57732	71	12	tables	table	NOUN
bibechana-57732	71	13	on	on	ADP
bibechana-57732	71	14	the	the	DET
bibechana-57732	71	15	basis	basis	NOUN
bibechana-57732	71	16	of	of	ADP
bibechana-57732	71	17	dependencies	dependency	NOUN
bibechana-57732	71	18	seen	see	VERB
bibechana-57732	71	19	in	in	ADP
bibechana-57732	71	20	data	datum	NOUN
bibechana-57732	71	21	.	.	PUNCT
bibechana-57732	72	1	after	after	ADP
bibechana-57732	72	2	these	these	DET
bibechana-57732	72	3	steps	step	NOUN
bibechana-57732	72	4	,	,	PUNCT
bibechana-57732	72	5	the	the	DET
bibechana-57732	72	6	data	datum	NOUN
bibechana-57732	72	7	set	set	VERB
bibechana-57732	72	8	is	be	AUX
bibechana-57732	72	9	split	split	VERB
bibechana-57732	72	10	into	into	ADP
bibechana-57732	72	11	training	training	NOUN
bibechana-57732	72	12	and	and	CCONJ
bibechana-57732	72	13	testing	testing	NOUN
bibechana-57732	72	14	sets	set	NOUN
bibechana-57732	72	15	to	to	PART
bibechana-57732	72	16	subject	subject	VERB
bibechana-57732	72	17	it	it	PRON
bibechana-57732	72	18	into	into	ADP
bibechana-57732	72	19	the	the	DET
bibechana-57732	72	20	ml	ml	PROPN
bibechana-57732	72	21	model	model	NOUN
bibechana-57732	72	22	[	[	X
bibechana-57732	72	23	14	14	NUM
bibechana-57732	72	24	]	]	PUNCT
bibechana-57732	72	25	.	.	PUNCT
bibechana-57732	73	1	2.2	2.2	NUM
bibechana-57732	73	2	gradient	gradient	ADJ
bibechana-57732	73	3	descent	descent	NOUN
bibechana-57732	73	4	the	the	DET
bibechana-57732	73	5	objective	objective	NOUN
bibechana-57732	73	6	of	of	ADP
bibechana-57732	73	7	gradient	gradient	ADJ
bibechana-57732	73	8	descent	descent	NOUN
bibechana-57732	73	9	algorithm	algorithm	NOUN
bibechana-57732	73	10	is	be	AUX
bibechana-57732	73	11	to	to	PART
bibechana-57732	73	12	minimize	minimize	VERB
bibechana-57732	73	13	a	a	DET
bibechana-57732	73	14	differentiable	differentiable	ADJ
bibechana-57732	73	15	cost	cost	NOUN
bibechana-57732	73	16	function	function	NOUN
bibechana-57732	73	17	in	in	ADP
bibechana-57732	73	18	certain	certain	ADJ
bibechana-57732	73	19	number	number	NOUN
bibechana-57732	73	20	of	of	ADP
bibechana-57732	73	21	iterations	iteration	NOUN
bibechana-57732	73	22	[	[	X
bibechana-57732	73	23	15	15	NUM
bibechana-57732	73	24	]	]	PUNCT
bibechana-57732	73	25	.	.	PUNCT
bibechana-57732	74	1	if	if	SCONJ
bibechana-57732	74	2	y	y	PROPN
bibechana-57732	74	3	=	=	SYM
bibechana-57732	74	4	mx	mx	PROPN
bibechana-57732	75	1	+	+	CCONJ
bibechana-57732	75	2	c	c	PROPN
bibechana-57732	75	3	is	be	AUX
bibechana-57732	75	4	regression	regression	NOUN
bibechana-57732	75	5	model	model	NOUN
bibechana-57732	75	6	then	then	ADV
bibechana-57732	75	7	m	m	PROPN
bibechana-57732	75	8	and	and	CCONJ
bibechana-57732	75	9	c	c	PROPN
bibechana-57732	75	10	are	be	AUX
bibechana-57732	75	11	parameters	parameter	NOUN
bibechana-57732	75	12	.	.	PUNCT
bibechana-57732	76	1	so	so	ADV
bibechana-57732	76	2	,	,	PUNCT
bibechana-57732	76	3	to	to	PART
bibechana-57732	76	4	find	find	VERB
bibechana-57732	76	5	the	the	DET
bibechana-57732	76	6	optimum	optimum	ADJ
bibechana-57732	76	7	value	value	NOUN
bibechana-57732	76	8	of	of	ADP
bibechana-57732	76	9	y	y	PROPN
bibechana-57732	76	10	,	,	PUNCT
bibechana-57732	76	11	m	m	PROPN
bibechana-57732	76	12	(	(	PUNCT
bibechana-57732	76	13	slope	slope	NOUN
bibechana-57732	76	14	)	)	PUNCT
bibechana-57732	76	15	and	and	CCONJ
bibechana-57732	76	16	c	c	PROPN
bibechana-57732	76	17	(	(	PUNCT
bibechana-57732	76	18	yintercept	yintercept	NOUN
bibechana-57732	76	19	)	)	PUNCT
bibechana-57732	76	20	must	must	AUX
bibechana-57732	76	21	be	be	AUX
bibechana-57732	76	22	minimized	minimize	VERB
bibechana-57732	76	23	.	.	PUNCT
bibechana-57732	77	1	then	then	ADV
bibechana-57732	77	2	the	the	DET
bibechana-57732	77	3	cost	cost	NOUN
bibechana-57732	77	4	function	function	NOUN
bibechana-57732	77	5	becomes	become	VERB
bibechana-57732	77	6	:	:	PUNCT
bibechana-57732	77	7	j(m	j(m	PROPN
bibechana-57732	77	8	,	,	PUNCT
bibechana-57732	77	9	c	c	NOUN
bibechana-57732	77	10	)	)	PUNCT
bibechana-57732	77	11	=	=	SYM
bibechana-57732	78	1	n∑	n∑	PROPN
bibechana-57732	78	2	i−1	i−1	PROPN
bibechana-57732	78	3	(	(	PUNCT
bibechana-57732	78	4	yi	yi	PROPN
bibechana-57732	78	5	−	−	PROPN
bibechana-57732	78	6	(	(	PUNCT
bibechana-57732	78	7	mx+	mx+	NOUN
bibechana-57732	78	8	c))2	c))2	NOUN
bibechana-57732	78	9	(	(	PUNCT
bibechana-57732	78	10	1	1	X
bibechana-57732	78	11	)	)	PUNCT
bibechana-57732	78	12	this	this	DET
bibechana-57732	78	13	cost	cost	NOUN
bibechana-57732	78	14	function	function	NOUN
bibechana-57732	78	15	is	be	AUX
bibechana-57732	78	16	used	use	VERB
bibechana-57732	78	17	to	to	PART
bibechana-57732	78	18	optimize	optimize	VERB
bibechana-57732	78	19	the	the	DET
bibechana-57732	78	20	parameters	parameter	NOUN
bibechana-57732	78	21	m	m	VERB
bibechana-57732	78	22	and	and	CCONJ
bibechana-57732	78	23	c	c	X
bibechana-57732	78	24	with	with	ADP
bibechana-57732	78	25	following	follow	VERB
bibechana-57732	78	26	relation	relation	NOUN
bibechana-57732	78	27	.	.	PUNCT
bibechana-57732	79	1	mnew	mnew	ADJ
bibechana-57732	79	2	=	=	NOUN
bibechana-57732	79	3	mold	mold	NOUN
bibechana-57732	79	4	−	−	PROPN
bibechana-57732	79	5	ρ	ρ	PROPN
bibechana-57732	79	6	∂j(m	∂j(m	PROPN
bibechana-57732	79	7	,	,	PUNCT
bibechana-57732	79	8	c	c	NOUN
bibechana-57732	79	9	)	)	PUNCT
bibechana-57732	79	10	∂m	∂m	PROPN
bibechana-57732	80	1	∣∣∣∣∣	∣∣∣∣∣	ADP
bibechana-57732	80	2	(	(	PUNCT
bibechana-57732	80	3	m′,c′	m′,c′	PROPN
bibechana-57732	80	4	)	)	PUNCT
bibechana-57732	80	5	(	(	PUNCT
bibechana-57732	80	6	2	2	NUM
bibechana-57732	80	7	)	)	PUNCT
bibechana-57732	80	8	where	where	SCONJ
bibechana-57732	80	9	,	,	PUNCT
bibechana-57732	80	10	ρ	ρ	PROPN
bibechana-57732	80	11	is	be	AUX
bibechana-57732	80	12	the	the	DET
bibechana-57732	80	13	learning	learning	NOUN
bibechana-57732	80	14	rate	rate	NOUN
bibechana-57732	80	15	and	and	CCONJ
bibechana-57732	80	16	(	(	PUNCT
bibechana-57732	80	17	m	m	NOUN
bibechana-57732	80	18	’	'	PUNCT
bibechana-57732	80	19	,	,	PUNCT
bibechana-57732	80	20	c	c	NOUN
bibechana-57732	80	21	’	'	PUNCT
bibechana-57732	80	22	)	)	PUNCT
bibechana-57732	80	23	is	be	AUX
bibechana-57732	80	24	initial	initial	ADJ
bibechana-57732	80	25	guess	guess	NOUN
bibechana-57732	80	26	.	.	PUNCT
bibechana-57732	81	1	similarly	similarly	ADV
bibechana-57732	81	2	,	,	PUNCT
bibechana-57732	81	3	cnew	cnew	ADJ
bibechana-57732	81	4	=	=	PUNCT
bibechana-57732	81	5	ccold	ccold	NOUN
bibechana-57732	81	6	−	−	PROPN
bibechana-57732	81	7	ρ	ρ	PROPN
bibechana-57732	81	8	∂j(m	∂j(m	PROPN
bibechana-57732	81	9	,	,	PUNCT
bibechana-57732	81	10	c	c	NOUN
bibechana-57732	81	11	)	)	PUNCT
bibechana-57732	81	12	∂m	∂m	PROPN
bibechana-57732	82	1	∣∣∣∣∣	∣∣∣∣∣	ADP
bibechana-57732	82	2	(	(	PUNCT
bibechana-57732	82	3	m′,c′	m′,c′	PROPN
bibechana-57732	82	4	)	)	PUNCT
bibechana-57732	82	5	(	(	PUNCT
bibechana-57732	82	6	3	3	X
bibechana-57732	82	7	)	)	PUNCT
bibechana-57732	82	8	so	so	SCONJ
bibechana-57732	82	9	the	the	DET
bibechana-57732	82	10	cost	cost	NOUN
bibechana-57732	82	11	function	function	NOUN
bibechana-57732	82	12	has	have	VERB
bibechana-57732	82	13	to	to	PART
bibechana-57732	82	14	be	be	AUX
bibechana-57732	82	15	minimized	minimize	VERB
bibechana-57732	82	16	by	by	ADP
bibechana-57732	82	17	moving	move	VERB
bibechana-57732	82	18	in	in	ADP
bibechana-57732	82	19	opposite	opposite	ADJ
bibechana-57732	82	20	direction	direction	NOUN
bibechana-57732	82	21	of	of	ADP
bibechana-57732	82	22	the	the	DET
bibechana-57732	82	23	gradient	gradient	NOUN
bibechana-57732	82	24	.	.	PUNCT
bibechana-57732	83	1	the	the	DET
bibechana-57732	83	2	iteration	iteration	NOUN
bibechana-57732	83	3	process	process	NOUN
bibechana-57732	83	4	will	will	AUX
bibechana-57732	83	5	be	be	AUX
bibechana-57732	83	6	repeated	repeat	VERB
bibechana-57732	83	7	until	until	SCONJ
bibechana-57732	83	8	we	we	PRON
bibechana-57732	83	9	reach	reach	VERB
bibechana-57732	83	10	the	the	DET
bibechana-57732	83	11	minimum	minimum	ADJ
bibechana-57732	83	12	cost	cost	NOUN
bibechana-57732	83	13	function	function	NOUN
bibechana-57732	83	14	.	.	PUNCT
bibechana-57732	84	1	finally	finally	ADV
bibechana-57732	84	2	,	,	PUNCT
bibechana-57732	84	3	we	we	PRON
bibechana-57732	84	4	obtain	obtain	VERB
bibechana-57732	84	5	the	the	DET
bibechana-57732	84	6	optimized	optimize	VERB
bibechana-57732	84	7	parameters	parameter	NOUN
bibechana-57732	84	8	for	for	ADP
bibechana-57732	84	9	best	good	ADJ
bibechana-57732	84	10	fit	fit	ADJ
bibechana-57732	84	11	in	in	ADP
bibechana-57732	84	12	our	our	PRON
bibechana-57732	84	13	regression	regression	NOUN
bibechana-57732	84	14	model	model	NOUN
bibechana-57732	84	15	[	[	X
bibechana-57732	84	16	16	16	NUM
bibechana-57732	84	17	]	]	PUNCT
bibechana-57732	84	18	.	.	PUNCT
bibechana-57732	85	1	2.3	2.3	NUM
bibechana-57732	85	2	cross	cross	ADJ
bibechana-57732	85	3	-	-	ADJ
bibechana-57732	85	4	validation	validation	ADJ
bibechana-57732	85	5	cross	cross	ADJ
bibechana-57732	85	6	-	-	ADJ
bibechana-57732	85	7	validation	validation	ADJ
bibechana-57732	85	8	technique	technique	NOUN
bibechana-57732	85	9	is	be	AUX
bibechana-57732	85	10	a	a	DET
bibechana-57732	85	11	resampling	resample	VERB
bibechana-57732	85	12	method	method	NOUN
bibechana-57732	85	13	in	in	ADP
bibechana-57732	85	14	ml	ml	ADP
bibechana-57732	85	15	where	where	SCONJ
bibechana-57732	85	16	the	the	DET
bibechana-57732	85	17	observation	observation	NOUN
bibechana-57732	85	18	set	set	NOUN
bibechana-57732	85	19	is	be	AUX
bibechana-57732	85	20	split	split	VERB
bibechana-57732	85	21	into	into	ADP
bibechana-57732	85	22	two	two	NUM
bibechana-57732	85	23	subsets	subset	NOUN
bibechana-57732	85	24	.	.	PUNCT
bibechana-57732	86	1	the	the	DET
bibechana-57732	86	2	first	first	ADJ
bibechana-57732	86	3	subset	subset	NOUN
bibechana-57732	86	4	is	be	AUX
bibechana-57732	86	5	called	call	VERB
bibechana-57732	86	6	training	training	NOUN
bibechana-57732	86	7	set	set	NOUN
bibechana-57732	86	8	and	and	CCONJ
bibechana-57732	86	9	the	the	DET
bibechana-57732	86	10	second	second	ADJ
bibechana-57732	86	11	one	one	NOUN
bibechana-57732	86	12	is	be	AUX
bibechana-57732	86	13	called	call	VERB
bibechana-57732	86	14	test	test	NOUN
bibechana-57732	86	15	set	set	NOUN
bibechana-57732	86	16	.	.	PUNCT
bibechana-57732	87	1	the	the	DET
bibechana-57732	87	2	training	training	NOUN
bibechana-57732	87	3	set	set	NOUN
bibechana-57732	87	4	is	be	AUX
bibechana-57732	87	5	exercised	exercise	VERB
bibechana-57732	87	6	to	to	PART
bibechana-57732	87	7	find	find	VERB
bibechana-57732	87	8	a	a	DET
bibechana-57732	87	9	proper	proper	ADJ
bibechana-57732	87	10	function	function	NOUN
bibechana-57732	87	11	whose	whose	DET
bibechana-57732	87	12	predictive	predictive	ADJ
bibechana-57732	87	13	capacity	capacity	NOUN
bibechana-57732	87	14	is	be	AUX
bibechana-57732	87	15	based	base	VERB
bibechana-57732	87	16	on	on	ADP
bibechana-57732	87	17	the	the	DET
bibechana-57732	87	18	prediction	prediction	NOUN
bibechana-57732	87	19	error	error	NOUN
bibechana-57732	87	20	.	.	PUNCT
bibechana-57732	88	1	prediction	prediction	NOUN
bibechana-57732	88	2	error	error	NOUN
bibechana-57732	88	3	is	be	AUX
bibechana-57732	88	4	calculated	calculate	VERB
bibechana-57732	88	5	by	by	ADP
bibechana-57732	88	6	applying	apply	VERB
bibechana-57732	88	7	the	the	DET
bibechana-57732	88	8	result	result	NOUN
bibechana-57732	88	9	of	of	ADP
bibechana-57732	88	10	training	training	NOUN
bibechana-57732	88	11	set	set	VERB
bibechana-57732	88	12	into	into	ADP
bibechana-57732	88	13	the	the	DET
bibechana-57732	88	14	test	test	NOUN
bibechana-57732	88	15	set	set	NOUN
bibechana-57732	88	16	.	.	PUNCT
bibechana-57732	89	1	in	in	ADP
bibechana-57732	89	2	this	this	DET
bibechana-57732	89	3	report	report	NOUN
bibechana-57732	89	4	,	,	PUNCT
bibechana-57732	89	5	we	we	PRON
bibechana-57732	89	6	have	have	AUX
bibechana-57732	89	7	used	use	VERB
bibechana-57732	89	8	k	k	ADJ
bibechana-57732	89	9	-	-	ADJ
bibechana-57732	89	10	fold	fold	ADJ
bibechana-57732	89	11	cross	cross	NOUN
bibechana-57732	89	12	validation	validation	NOUN
bibechana-57732	89	13	method	method	NOUN
bibechana-57732	89	14	because	because	SCONJ
bibechana-57732	89	15	it	it	PRON
bibechana-57732	89	16	estimates	estimate	VERB
bibechana-57732	89	17	the	the	DET
bibechana-57732	89	18	model	model	NOUN
bibechana-57732	89	19	in	in	ADP
bibechana-57732	89	20	finer	fine	ADJ
bibechana-57732	89	21	way	way	NOUN
bibechana-57732	89	22	by	by	ADP
bibechana-57732	89	23	training	training	NOUN
bibechana-57732	89	24	and	and	CCONJ
bibechana-57732	89	25	evaluating	evaluate	VERB
bibechana-57732	89	26	it	it	PRON
bibechana-57732	89	27	k	k	ADJ
bibechana-57732	89	28	-	-	PUNCT
bibechana-57732	89	29	times	time	NOUN
bibechana-57732	89	30	enhancing	enhance	VERB
bibechana-57732	89	31	the	the	DET
bibechana-57732	89	32	model	model	NOUN
bibechana-57732	89	33	performance	performance	NOUN
bibechana-57732	89	34	.	.	PUNCT
bibechana-57732	90	1	in	in	ADP
bibechana-57732	90	2	this	this	DET
bibechana-57732	90	3	method	method	NOUN
bibechana-57732	90	4	,	,	PUNCT
bibechana-57732	90	5	the	the	DET
bibechana-57732	90	6	dataset	dataset	NOUN
bibechana-57732	90	7	is	be	AUX
bibechana-57732	90	8	partitioned	partition	VERB
bibechana-57732	90	9	into	into	ADP
bibechana-57732	90	10	k	k	PROPN
bibechana-57732	90	11	subsets	subset	NOUN
bibechana-57732	90	12	(	(	PUNCT
bibechana-57732	90	13	folds	fold	NOUN
bibechana-57732	90	14	)	)	PUNCT
bibechana-57732	90	15	,	,	PUNCT
bibechana-57732	90	16	then	then	ADV
bibechana-57732	90	17	the	the	DET
bibechana-57732	90	18	function	function	NOUN
bibechana-57732	90	19	is	be	AUX
bibechana-57732	90	20	trained	train	VERB
bibechana-57732	90	21	on	on	ADP
bibechana-57732	90	22	the	the	DET
bibechana-57732	90	23	k-1	k-1	PROPN
bibechana-57732	90	24	subsets	subsets	PROPN
bibechana-57732	90	25	.	.	PUNCT
bibechana-57732	91	1	finally	finally	ADV
bibechana-57732	91	2	,	,	PUNCT
bibechana-57732	91	3	the	the	DET
bibechana-57732	91	4	prediction	prediction	NOUN
bibechana-57732	91	5	error	error	NOUN
bibechana-57732	91	6	is	be	AUX
bibechana-57732	91	7	estimated	estimate	VERB
bibechana-57732	91	8	on	on	ADP
bibechana-57732	91	9	each	each	DET
bibechana-57732	91	10	k-1	k-1	PROPN
bibechana-57732	91	11	subsets	subset	NOUN
bibechana-57732	91	12	with	with	ADP
bibechana-57732	91	13	the	the	DET
bibechana-57732	91	14	help	help	NOUN
bibechana-57732	91	15	of	of	ADP
bibechana-57732	91	16	the	the	DET
bibechana-57732	91	17	remaining	remain	VERB
bibechana-57732	91	18	set	set	NOUN
bibechana-57732	91	19	[	[	X
bibechana-57732	91	20	17	17	NUM
bibechana-57732	91	21	]	]	PUNCT
bibechana-57732	91	22	.	.	PUNCT
bibechana-57732	92	1	the	the	DET
bibechana-57732	92	2	other	other	ADJ
bibechana-57732	92	3	validation	validation	NOUN
bibechana-57732	92	4	methods	method	NOUN
bibechana-57732	92	5	such	such	ADJ
bibechana-57732	92	6	as	as	ADP
bibechana-57732	92	7	holdout	holdout	NOUN
bibechana-57732	92	8	validation	validation	NOUN
bibechana-57732	92	9	that	that	PRON
bibechana-57732	92	10	splits	split	VERB
bibechana-57732	92	11	whole	whole	ADJ
bibechana-57732	92	12	data	datum	NOUN
bibechana-57732	92	13	into	into	ADP
bibechana-57732	92	14	training	training	NOUN
bibechana-57732	92	15	and	and	CCONJ
bibechana-57732	92	16	validation	validation	NOUN
bibechana-57732	92	17	set	set	NOUN
bibechana-57732	92	18	could	could	AUX
bibechana-57732	92	19	be	be	AUX
bibechana-57732	92	20	sensitive	sensitive	ADJ
bibechana-57732	92	21	to	to	ADP
bibechana-57732	92	22	the	the	DET
bibechana-57732	92	23	initial	initial	ADJ
bibechana-57732	92	24	random	random	ADJ
bibechana-57732	92	25	split	split	NOUN
bibechana-57732	92	26	and	and	CCONJ
bibechana-57732	92	27	the	the	DET
bibechana-57732	92	28	evaluation	evaluation	NOUN
bibechana-57732	92	29	can	can	AUX
bibechana-57732	92	30	biased	bias	VERB
bibechana-57732	92	31	depending	depend	VERB
bibechana-57732	92	32	on	on	ADP
bibechana-57732	92	33	the	the	DET
bibechana-57732	92	34	split	split	NOUN
bibechana-57732	92	35	.	.	PUNCT
bibechana-57732	93	1	also	also	ADV
bibechana-57732	93	2	,	,	PUNCT
bibechana-57732	93	3	we	we	PRON
bibechana-57732	93	4	opt	opt	VERB
bibechana-57732	93	5	k	k	ADJ
bibechana-57732	93	6	-	-	ADJ
bibechana-57732	93	7	fold	fold	ADJ
bibechana-57732	93	8	cross	cross	NOUN
bibechana-57732	93	9	-	-	NOUN
bibechana-57732	93	10	validation	validation	NOUN
bibechana-57732	93	11	as	as	ADP
bibechana-57732	93	12	our	our	PRON
bibechana-57732	93	13	preferred	preferred	ADJ
bibechana-57732	93	14	method	method	NOUN
bibechana-57732	93	15	for	for	ADP
bibechana-57732	93	16	model	model	NOUN
bibechana-57732	93	17	evaluation	evaluation	NOUN
bibechana-57732	93	18	as	as	SCONJ
bibechana-57732	93	19	it	it	PRON
bibechana-57732	93	20	is	be	AUX
bibechana-57732	93	21	most	most	ADV
bibechana-57732	93	22	suitable	suitable	ADJ
bibechana-57732	93	23	for	for	ADP
bibechana-57732	93	24	smaller	small	ADJ
bibechana-57732	93	25	datasets	dataset	NOUN
bibechana-57732	93	26	.	.	PUNCT
bibechana-57732	94	1	ultimately	ultimately	ADV
bibechana-57732	94	2	,	,	PUNCT
bibechana-57732	94	3	the	the	DET
bibechana-57732	94	4	choice	choice	NOUN
bibechana-57732	94	5	of	of	ADP
bibechana-57732	94	6	validation	validation	NOUN
bibechana-57732	94	7	technique	technique	NOUN
bibechana-57732	94	8	is	be	AUX
bibechana-57732	94	9	chosen	choose	VERB
bibechana-57732	94	10	on	on	ADP
bibechana-57732	94	11	the	the	DET
bibechana-57732	94	12	basis	basis	NOUN
bibechana-57732	94	13	of	of	ADP
bibechana-57732	94	14	the	the	DET
bibechana-57732	94	15	characteristics	characteristic	NOUN
bibechana-57732	94	16	of	of	ADP
bibechana-57732	94	17	our	our	PRON
bibechana-57732	94	18	data	datum	NOUN
bibechana-57732	94	19	and	and	CCONJ
bibechana-57732	94	20	the	the	DET
bibechana-57732	94	21	research	research	NOUN
bibechana-57732	94	22	objectives	objective	NOUN
bibechana-57732	94	23	.	.	PUNCT
bibechana-57732	95	1	2.4	2.4	NUM
bibechana-57732	95	2	gradient	gradient	NOUN
bibechana-57732	95	3	boosting	boost	VERB
bibechana-57732	95	4	regression	regression	NOUN
bibechana-57732	95	5	model	model	NOUN
bibechana-57732	95	6	we	we	PRON
bibechana-57732	95	7	have	have	AUX
bibechana-57732	95	8	used	use	VERB
bibechana-57732	95	9	gradient	gradient	NOUN
bibechana-57732	95	10	boosting	boost	VERB
bibechana-57732	95	11	regression	regression	NOUN
bibechana-57732	95	12	tree	tree	NOUN
bibechana-57732	95	13	(	(	PUNCT
bibechana-57732	95	14	gbrt	gbrt	NOUN
bibechana-57732	95	15	)	)	PUNCT
bibechana-57732	95	16	to	to	PART
bibechana-57732	95	17	predict	predict	VERB
bibechana-57732	95	18	the	the	DET
bibechana-57732	95	19	lattice	lattice	NOUN
bibechana-57732	95	20	parameters	parameter	NOUN
bibechana-57732	95	21	of	of	ADP
bibechana-57732	95	22	cubic	cubic	ADJ
bibechana-57732	95	23	and	and	CCONJ
bibechana-57732	95	24	trigonal	trigonal	ADJ
bibechana-57732	95	25	tmds	tmds	NOUN
bibechana-57732	95	26	.	.	PUNCT
bibechana-57732	96	1	a	a	DET
bibechana-57732	96	2	gbrt	gbrt	ADJ
bibechana-57732	96	3	model	model	NOUN
bibechana-57732	96	4	minimizes	minimize	VERB
bibechana-57732	96	5	the	the	DET
bibechana-57732	96	6	prediction	prediction	NOUN
bibechana-57732	96	7	errors	error	NOUN
bibechana-57732	96	8	through	through	ADP
bibechana-57732	96	9	boosting	boost	VERB
bibechana-57732	96	10	technique	technique	NOUN
bibechana-57732	96	11	which	which	PRON
bibechana-57732	96	12	compiles	compile	VERB
bibechana-57732	96	13	the	the	DET
bibechana-57732	96	14	set	set	NOUN
bibechana-57732	96	15	of	of	ADP
bibechana-57732	96	16	weak	weak	ADJ
bibechana-57732	96	17	models	model	NOUN
bibechana-57732	96	18	to	to	PART
bibechana-57732	96	19	construct	construct	VERB
bibechana-57732	96	20	a	a	DET
bibechana-57732	96	21	single	single	ADJ
bibechana-57732	96	22	strong	strong	ADJ
bibechana-57732	96	23	model	model	NOUN
bibechana-57732	96	24	.	.	PUNCT
bibechana-57732	97	1	in	in	ADP
bibechana-57732	97	2	this	this	DET
bibechana-57732	97	3	technique	technique	NOUN
bibechana-57732	97	4	,	,	PUNCT
bibechana-57732	97	5	the	the	DET
bibechana-57732	97	6	prediction	prediction	NOUN
bibechana-57732	97	7	error	error	NOUN
bibechana-57732	97	8	is	be	AUX
bibechana-57732	97	9	minimized	minimize	VERB
bibechana-57732	97	10	sequentially	sequentially	ADV
bibechana-57732	97	11	by	by	ADP
bibechana-57732	97	12	generating	generate	VERB
bibechana-57732	97	13	new	new	ADJ
bibechana-57732	97	14	decision	decision	NOUN
bibechana-57732	97	15	trees	tree	NOUN
bibechana-57732	97	16	.	.	PUNCT
bibechana-57732	98	1	decision	decision	NOUN
bibechana-57732	98	2	tree	tree	NOUN
bibechana-57732	98	3	compares	compare	VERB
bibechana-57732	98	4	the	the	DET
bibechana-57732	98	5	values	value	NOUN
bibechana-57732	98	6	of	of	ADP
bibechana-57732	98	7	root	root	NOUN
bibechana-57732	98	8	attribute	attribute	NOUN
bibechana-57732	98	9	with	with	ADP
bibechana-57732	98	10	the	the	DET
bibechana-57732	98	11	real	real	ADJ
bibechana-57732	98	12	data	data	NOUN
bibechana-57732	98	13	-	-	PUNCT
bibechana-57732	98	14	set	set	VERB
bibechana-57732	98	15	attribute	attribute	NOUN
bibechana-57732	98	16	and	and	CCONJ
bibechana-57732	98	17	on	on	ADP
bibechana-57732	98	18	the	the	DET
bibechana-57732	98	19	basis	basis	NOUN
bibechana-57732	98	20	of	of	ADP
bibechana-57732	98	21	the	the	DET
bibechana-57732	98	22	comparison	comparison	NOUN
bibechana-57732	98	23	,	,	PUNCT
bibechana-57732	98	24	it	it	PRON
bibechana-57732	98	25	follows	follow	VERB
bibechana-57732	98	26	the	the	DET
bibechana-57732	98	27	branch	branch	NOUN
bibechana-57732	98	28	and	and	CCONJ
bibechana-57732	98	29	moves	move	NOUN
bibechana-57732	98	30	to	to	ADP
bibechana-57732	98	31	the	the	DET
bibechana-57732	98	32	next	next	ADJ
bibechana-57732	98	33	node	node	NOUN
bibechana-57732	98	34	.	.	PUNCT
bibechana-57732	99	1	the	the	DET
bibechana-57732	99	2	sequential	sequential	ADJ
bibechana-57732	99	3	process	process	NOUN
bibechana-57732	99	4	is	be	AUX
bibechana-57732	99	5	basically	basically	ADV
bibechana-57732	99	6	a	a	DET
bibechana-57732	99	7	functional	functional	ADJ
bibechana-57732	99	8	gradient	gradient	ADJ
bibechana-57732	99	9	descent	descent	NOUN
bibechana-57732	99	10	where	where	SCONJ
bibechana-57732	99	11	the	the	DET
bibechana-57732	99	12	prediction	prediction	NOUN
bibechana-57732	99	13	is	be	AUX
bibechana-57732	99	14	optimized	optimize	VERB
bibechana-57732	99	15	with	with	ADP
bibechana-57732	99	16	the	the	DET
bibechana-57732	99	17	addition	addition	NOUN
bibechana-57732	99	18	of	of	ADP
bibechana-57732	99	19	new	new	ADJ
bibechana-57732	99	20	tree	tree	NOUN
bibechana-57732	99	21	at	at	ADP
bibechana-57732	99	22	every	every	DET
bibechana-57732	99	23	step	step	NOUN
bibechana-57732	99	24	,	,	PUNCT
bibechana-57732	99	25	in	in	ADP
bibechana-57732	99	26	order	order	NOUN
bibechana-57732	99	27	to	to	PART
bibechana-57732	99	28	minimize	minimize	VERB
bibechana-57732	99	29	the	the	DET
bibechana-57732	99	30	cost	cost	NOUN
bibechana-57732	99	31	function	function	NOUN
bibechana-57732	99	32	[	[	X
bibechana-57732	99	33	18	18	NUM
bibechana-57732	99	34	]	]	PUNCT
bibechana-57732	99	35	.	.	PUNCT
bibechana-57732	100	1	in	in	ADP
bibechana-57732	100	2	this	this	DET
bibechana-57732	100	3	work	work	NOUN
bibechana-57732	100	4	,	,	PUNCT
bibechana-57732	100	5	we	we	PRON
bibechana-57732	100	6	have	have	AUX
bibechana-57732	100	7	predicted	predict	VERB
bibechana-57732	100	8	the	the	DET
bibechana-57732	100	9	lattice	lattice	PROPN
bibechana-57732	100	10	constants	constant	NOUN
bibechana-57732	100	11	(	(	PUNCT
bibechana-57732	100	12	a	a	DET
bibechana-57732	100	13	,	,	PUNCT
bibechana-57732	100	14	b	b	PROPN
bibechana-57732	100	15	and	and	CCONJ
bibechana-57732	100	16	c	c	X
bibechana-57732	100	17	)	)	PUNCT
bibechana-57732	100	18	using	use	VERB
bibechana-57732	100	19	other	other	ADJ
bibechana-57732	100	20	properties	property	NOUN
bibechana-57732	100	21	of	of	ADP
bibechana-57732	100	22	mx2	mx2	NOUN
bibechana-57732	100	23	system	system	NOUN
bibechana-57732	100	24	such	such	ADJ
bibechana-57732	100	25	as	as	ADP
bibechana-57732	100	26	ionic	ionic	ADJ
bibechana-57732	100	27	radius	radius	NOUN
bibechana-57732	100	28	,	,	PUNCT
bibechana-57732	100	29	lattice	lattice	NOUN
bibechana-57732	100	30	angles	angle	NOUN
bibechana-57732	100	31	,	,	PUNCT
bibechana-57732	100	32	band	band	NOUN
bibechana-57732	100	33	gap	gap	NOUN
bibechana-57732	100	34	,	,	PUNCT
bibechana-57732	100	35	formation	formation	NOUN
bibechana-57732	100	36	energy	energy	NOUN
bibechana-57732	100	37	,	,	PUNCT
bibechana-57732	100	38	total	total	ADJ
bibechana-57732	100	39	magnetic	magnetic	ADJ
bibechana-57732	100	40	moment	moment	NOUN
bibechana-57732	100	41	,	,	PUNCT
bibechana-57732	100	42	density	density	NOUN
bibechana-57732	100	43	and	and	CCONJ
bibechana-57732	100	44	oxidation	oxidation	NOUN
bibechana-57732	100	45	number	number	NOUN
bibechana-57732	100	46	using	use	VERB
bibechana-57732	100	47	gbrt	gbrt	ADJ
bibechana-57732	100	48	model	model	NOUN
bibechana-57732	100	49	.	.	PUNCT
bibechana-57732	101	1	the	the	DET
bibechana-57732	101	2	hyperparameters	hyperparameter	NOUN
bibechana-57732	101	3	of	of	ADP
bibechana-57732	101	4	gbrt	gbrt	ADJ
bibechana-57732	101	5	model	model	NOUN
bibechana-57732	101	6	used	use	VERB
bibechana-57732	101	7	here	here	ADV
bibechana-57732	101	8	are	be	AUX
bibechana-57732	101	9	bhupendra	bhupendra	PROPN
bibechana-57732	101	10	sharma	sharma	PROPN
bibechana-57732	101	11	et	et	PROPN
bibechana-57732	101	12	al./	al./	ADV
bibechana-57732	101	13	bibechana	bibechana	PROPN
bibechana-57732	101	14	20	20	NUM
bibechana-57732	101	15	(	(	PUNCT
bibechana-57732	101	16	2023	2023	NUM
bibechana-57732	101	17	)	)	PUNCT
bibechana-57732	101	18	267	267	NUM
bibechana-57732	101	19	-	-	SYM
bibechana-57732	101	20	274	274	NUM
bibechana-57732	101	21	271	271	NUM
bibechana-57732	101	22	max	max	ADJ
bibechana-57732	101	23	-	-	PUNCT
bibechana-57732	101	24	depth	depth	NOUN
bibechana-57732	101	25	and	and	CCONJ
bibechana-57732	101	26	n	n	CCONJ
bibechana-57732	101	27	-	-	PUNCT
bibechana-57732	101	28	estimators	estimator	NOUN
bibechana-57732	101	29	.	.	PUNCT
bibechana-57732	102	1	the	the	DET
bibechana-57732	102	2	max	max	ADJ
bibechana-57732	102	3	-	-	PUNCT
bibechana-57732	102	4	depth	depth	NOUN
bibechana-57732	102	5	sets	set	VERB
bibechana-57732	102	6	the	the	DET
bibechana-57732	102	7	maximum	maximum	ADJ
bibechana-57732	102	8	depth	depth	NOUN
bibechana-57732	102	9	of	of	ADP
bibechana-57732	102	10	nodes	node	NOUN
bibechana-57732	102	11	in	in	ADP
bibechana-57732	102	12	a	a	DET
bibechana-57732	102	13	tree	tree	NOUN
bibechana-57732	102	14	which	which	PRON
bibechana-57732	102	15	is	be	AUX
bibechana-57732	102	16	set	set	VERB
bibechana-57732	102	17	to	to	ADP
bibechana-57732	102	18	4	4	NUM
bibechana-57732	102	19	.	.	PUNCT
bibechana-57732	103	1	the	the	DET
bibechana-57732	103	2	n	n	CCONJ
bibechana-57732	103	3	-	-	PUNCT
bibechana-57732	103	4	estimator	estimator	NOUN
bibechana-57732	103	5	chooses	choose	VERB
bibechana-57732	103	6	the	the	DET
bibechana-57732	103	7	number	number	NOUN
bibechana-57732	103	8	of	of	ADP
bibechana-57732	103	9	trees	tree	NOUN
bibechana-57732	103	10	to	to	PART
bibechana-57732	103	11	be	be	AUX
bibechana-57732	103	12	considered	consider	VERB
bibechana-57732	103	13	in	in	ADP
bibechana-57732	103	14	our	our	PRON
bibechana-57732	103	15	model	model	NOUN
bibechana-57732	103	16	which	which	PRON
bibechana-57732	103	17	is	be	AUX
bibechana-57732	103	18	set	set	VERB
bibechana-57732	103	19	to	to	PART
bibechana-57732	103	20	be	be	AUX
bibechana-57732	103	21	500	500	NUM
bibechana-57732	103	22	.	.	PUNCT
bibechana-57732	104	1	the	the	DET
bibechana-57732	104	2	3	3	NUM
bibechana-57732	104	3	-	-	ADJ
bibechana-57732	104	4	fold	fold	ADJ
bibechana-57732	104	5	cross	cross	NOUN
bibechana-57732	104	6	validation	validation	NOUN
bibechana-57732	104	7	is	be	AUX
bibechana-57732	104	8	applied	apply	VERB
bibechana-57732	104	9	to	to	ADP
bibechana-57732	104	10	the	the	DET
bibechana-57732	104	11	model	model	NOUN
bibechana-57732	104	12	with	with	ADP
bibechana-57732	104	13	shuffle	shuffle	NOUN
bibechana-57732	104	14	on	on	ADP
bibechana-57732	104	15	mode	mode	NOUN
bibechana-57732	104	16	.	.	PUNCT
bibechana-57732	105	1	this	this	PRON
bibechana-57732	105	2	means	mean	VERB
bibechana-57732	105	3	that	that	SCONJ
bibechana-57732	105	4	the	the	DET
bibechana-57732	105	5	dataset	dataset	NOUN
bibechana-57732	105	6	has	have	AUX
bibechana-57732	105	7	been	be	AUX
bibechana-57732	105	8	split	split	VERB
bibechana-57732	105	9	into	into	ADP
bibechana-57732	105	10	three	three	NUM
bibechana-57732	105	11	subsets	subset	NOUN
bibechana-57732	105	12	.	.	PUNCT
bibechana-57732	106	1	two	two	NUM
bibechana-57732	106	2	of	of	ADP
bibechana-57732	106	3	them	they	PRON
bibechana-57732	106	4	were	be	AUX
bibechana-57732	106	5	used	use	VERB
bibechana-57732	106	6	for	for	ADP
bibechana-57732	106	7	training	training	NOUN
bibechana-57732	106	8	where	where	SCONJ
bibechana-57732	106	9	remaining	remain	VERB
bibechana-57732	106	10	one	one	NUM
bibechana-57732	106	11	was	be	AUX
bibechana-57732	106	12	used	use	VERB
bibechana-57732	106	13	for	for	ADP
bibechana-57732	106	14	testing	test	VERB
bibechana-57732	106	15	the	the	DET
bibechana-57732	106	16	model	model	NOUN
bibechana-57732	106	17	and	and	CCONJ
bibechana-57732	106	18	the	the	DET
bibechana-57732	106	19	data	datum	NOUN
bibechana-57732	106	20	are	be	AUX
bibechana-57732	106	21	trained	train	VERB
bibechana-57732	106	22	and	and	CCONJ
bibechana-57732	106	23	tested	test	VERB
bibechana-57732	106	24	in	in	ADP
bibechana-57732	106	25	shuffle	shuffle	PROPN
bibechana-57732	106	26	mode	mode	NOUN
bibechana-57732	106	27	.	.	PUNCT
bibechana-57732	107	1	3	3	NUM
bibechana-57732	107	2	results	result	NOUN
bibechana-57732	107	3	and	and	CCONJ
bibechana-57732	107	4	discussion	discussion	VERB
bibechana-57732	107	5	the	the	DET
bibechana-57732	107	6	interpretation	interpretation	NOUN
bibechana-57732	107	7	of	of	ADP
bibechana-57732	107	8	the	the	DET
bibechana-57732	107	9	accuracy	accuracy	NOUN
bibechana-57732	107	10	of	of	ADP
bibechana-57732	107	11	our	our	PRON
bibechana-57732	107	12	model	model	NOUN
bibechana-57732	107	13	is	be	AUX
bibechana-57732	107	14	measured	measure	VERB
bibechana-57732	107	15	on	on	ADP
bibechana-57732	107	16	the	the	DET
bibechana-57732	107	17	basis	basis	NOUN
bibechana-57732	107	18	of	of	ADP
bibechana-57732	107	19	root	root	NOUN
bibechana-57732	107	20	mean	mean	ADJ
bibechana-57732	107	21	square	square	ADJ
bibechana-57732	107	22	error	error	NOUN
bibechana-57732	107	23	(	(	PUNCT
bibechana-57732	107	24	rmse	rmse	NOUN
bibechana-57732	107	25	)	)	PUNCT
bibechana-57732	107	26	and	and	CCONJ
bibechana-57732	107	27	mean	mean	VERB
bibechana-57732	107	28	absolute	absolute	ADJ
bibechana-57732	107	29	error	error	NOUN
bibechana-57732	107	30	(	(	PUNCT
bibechana-57732	107	31	mae	mae	PROPN
bibechana-57732	107	32	)	)	PUNCT
bibechana-57732	107	33	.	.	PUNCT
bibechana-57732	108	1	for	for	ADP
bibechana-57732	108	2	n	n	NUM
bibechana-57732	108	3	observations	observation	NOUN
bibechana-57732	108	4	y	y	NOUN
bibechana-57732	108	5	with	with	ADP
bibechana-57732	108	6	n	n	CCONJ
bibechana-57732	108	7	corresponding	correspond	VERB
bibechana-57732	108	8	model	model	NOUN
bibechana-57732	108	9	predictions	prediction	NOUN
bibechana-57732	108	10	ŷ	ŷ	NUM
bibechana-57732	108	11	(	(	PUNCT
bibechana-57732	108	12	yi	yi	NOUN
bibechana-57732	108	13	,	,	PUNCT
bibechana-57732	108	14	i=1,2	i=1,2	NOUN
bibechana-57732	108	15	...	...	PUNCT
bibechana-57732	108	16	n	n	CCONJ
bibechana-57732	108	17	)	)	PUNCT
bibechana-57732	108	18	,	,	PUNCT
bibechana-57732	108	19	rmse	rmse	PROPN
bibechana-57732	108	20	and	and	CCONJ
bibechana-57732	108	21	mae	mae	PROPN
bibechana-57732	108	22	modeled	model	VERB
bibechana-57732	108	23	by	by	ADP
bibechana-57732	108	24	hodson	hodson	PROPN
bibechana-57732	108	25	[	[	X
bibechana-57732	108	26	19	19	NUM
bibechana-57732	108	27	]	]	PUNCT
bibechana-57732	108	28	are	be	AUX
bibechana-57732	108	29	as	as	ADV
bibechana-57732	108	30	below	below	ADV
bibechana-57732	108	31	:	:	PUNCT
bibechana-57732	108	32	rmse	rmse	NOUN
bibechana-57732	108	33	=	=	PUNCT
bibechana-57732	108	34	√√√√	√√√√	PRON
bibechana-57732	108	35	1	1	NUM
bibechana-57732	108	36	n	n	NUM
bibechana-57732	108	37	n∑	n∑	NOUN
bibechana-57732	108	38	i=1	i=1	PROPN
bibechana-57732	108	39	(	(	PUNCT
bibechana-57732	108	40	yi	yi	PROPN
bibechana-57732	108	41	−	−	PROPN
bibechana-57732	108	42	ŷi)2	ŷi)2	PROPN
bibechana-57732	108	43	(	(	PUNCT
bibechana-57732	108	44	4	4	NUM
bibechana-57732	108	45	)	)	PUNCT
bibechana-57732	108	46	mae	mae	PROPN
bibechana-57732	109	1	=	=	SYM
bibechana-57732	109	2	1	1	NUM
bibechana-57732	109	3	n	n	NUM
bibechana-57732	109	4	n∑	n∑	NOUN
bibechana-57732	109	5	i=1	i=1	X
bibechana-57732	110	1	|yi	|yi	ADV
bibechana-57732	110	2	−	−	PROPN
bibechana-57732	110	3	ŷi|	ŷi|	PROPN
bibechana-57732	110	4	(	(	PUNCT
bibechana-57732	110	5	5	5	NUM
bibechana-57732	110	6	)	)	PUNCT
bibechana-57732	110	7	figure	figure	NOUN
bibechana-57732	110	8	4	4	NUM
bibechana-57732	110	9	:	:	PUNCT
bibechana-57732	110	10	barplot	barplot	NOUN
bibechana-57732	110	11	(	(	PUNCT
bibechana-57732	110	12	i	i	NOUN
bibechana-57732	110	13	)	)	PUNCT
bibechana-57732	110	14	shows	show	VERB
bibechana-57732	110	15	the	the	DET
bibechana-57732	110	16	features	feature	NOUN
bibechana-57732	110	17	used	use	VERB
bibechana-57732	110	18	and	and	CCONJ
bibechana-57732	110	19	their	their	PRON
bibechana-57732	110	20	roles	role	NOUN
bibechana-57732	110	21	in	in	ADP
bibechana-57732	110	22	the	the	DET
bibechana-57732	110	23	model	model	NOUN
bibechana-57732	110	24	to	to	PART
bibechana-57732	110	25	predict	predict	VERB
bibechana-57732	110	26	a	a	PRON
bibechana-57732	110	27	of	of	ADP
bibechana-57732	110	28	the	the	DET
bibechana-57732	110	29	cubic	cubic	ADJ
bibechana-57732	110	30	mx2	mx2	NOUN
bibechana-57732	110	31	system	system	NOUN
bibechana-57732	110	32	(	(	PUNCT
bibechana-57732	110	33	ii	ii	NOUN
bibechana-57732	110	34	)	)	PUNCT
bibechana-57732	110	35	shows	show	VERB
bibechana-57732	110	36	the	the	DET
bibechana-57732	110	37	features	feature	NOUN
bibechana-57732	110	38	used	use	VERB
bibechana-57732	110	39	and	and	CCONJ
bibechana-57732	110	40	their	their	PRON
bibechana-57732	110	41	roles	role	NOUN
bibechana-57732	110	42	in	in	ADP
bibechana-57732	110	43	the	the	DET
bibechana-57732	110	44	model	model	NOUN
bibechana-57732	110	45	to	to	PART
bibechana-57732	110	46	predict	predict	VERB
bibechana-57732	110	47	a	a	PRON
bibechana-57732	110	48	of	of	ADP
bibechana-57732	110	49	trigonal	trigonal	ADJ
bibechana-57732	110	50	mx2	mx2	NOUN
bibechana-57732	110	51	system	system	NOUN
bibechana-57732	110	52	(	(	PUNCT
bibechana-57732	110	53	iii	iii	NOUN
bibechana-57732	110	54	)	)	PUNCT
bibechana-57732	110	55	shows	show	VERB
bibechana-57732	110	56	the	the	DET
bibechana-57732	110	57	features	feature	NOUN
bibechana-57732	110	58	used	use	VERB
bibechana-57732	110	59	and	and	CCONJ
bibechana-57732	110	60	their	their	PRON
bibechana-57732	110	61	roles	role	NOUN
bibechana-57732	110	62	in	in	ADP
bibechana-57732	110	63	the	the	DET
bibechana-57732	110	64	model	model	NOUN
bibechana-57732	110	65	to	to	PART
bibechana-57732	110	66	predict	predict	VERB
bibechana-57732	110	67	b	b	PROPN
bibechana-57732	110	68	of	of	ADP
bibechana-57732	110	69	trigonal	trigonal	ADJ
bibechana-57732	110	70	mx2	mx2	NOUN
bibechana-57732	110	71	system	system	NOUN
bibechana-57732	110	72	(	(	PUNCT
bibechana-57732	110	73	iv	iv	X
bibechana-57732	110	74	)	)	PUNCT
bibechana-57732	110	75	shows	show	VERB
bibechana-57732	110	76	the	the	DET
bibechana-57732	110	77	features	feature	NOUN
bibechana-57732	110	78	used	use	VERB
bibechana-57732	110	79	and	and	CCONJ
bibechana-57732	110	80	their	their	PRON
bibechana-57732	110	81	roles	role	NOUN
bibechana-57732	110	82	in	in	ADP
bibechana-57732	110	83	the	the	DET
bibechana-57732	110	84	model	model	NOUN
bibechana-57732	110	85	to	to	PART
bibechana-57732	110	86	predict	predict	VERB
bibechana-57732	110	87	c	c	PROPN
bibechana-57732	110	88	of	of	ADP
bibechana-57732	110	89	trigonal	trigonal	ADJ
bibechana-57732	110	90	mx2	mx2	NOUN
bibechana-57732	110	91	systems	system	NOUN
bibechana-57732	110	92	.	.	PUNCT
bibechana-57732	111	1	the	the	DET
bibechana-57732	111	2	figures	figure	NOUN
bibechana-57732	111	3	were	be	AUX
bibechana-57732	111	4	generated	generate	VERB
bibechana-57732	111	5	in	in	ADP
bibechana-57732	111	6	jupyter	jupyter	ADJ
bibechana-57732	111	7	notebook	notebook	NOUN
bibechana-57732	111	8	using	use	VERB
bibechana-57732	111	9	python	python	NOUN
bibechana-57732	111	10	codes	code	NOUN
bibechana-57732	111	11	.	.	PUNCT
bibechana-57732	112	1	3.1	3.1	NUM
bibechana-57732	112	2	lattice	lattice	PROPN
bibechana-57732	112	3	constants	constant	NOUN
bibechana-57732	112	4	prediction	prediction	NOUN
bibechana-57732	112	5	for	for	ADP
bibechana-57732	112	6	cubic	cubic	ADJ
bibechana-57732	112	7	systems	system	NOUN
bibechana-57732	112	8	twenty	twenty	NUM
bibechana-57732	112	9	one	one	NUM
bibechana-57732	112	10	cubic	cubic	ADJ
bibechana-57732	112	11	tmds	tmds	NOUN
bibechana-57732	112	12	that	that	PRON
bibechana-57732	112	13	were	be	AUX
bibechana-57732	112	14	available	available	ADJ
bibechana-57732	112	15	in	in	ADP
bibechana-57732	112	16	materials	material	NOUN
bibechana-57732	112	17	project	project	NOUN
bibechana-57732	112	18	website	website	NOUN
bibechana-57732	112	19	has	have	AUX
bibechana-57732	112	20	been	be	AUX
bibechana-57732	112	21	used	use	VERB
bibechana-57732	112	22	.	.	PUNCT
bibechana-57732	113	1	we	we	PRON
bibechana-57732	113	2	used	use	VERB
bibechana-57732	113	3	gbrt	gbrt	NOUN
bibechana-57732	113	4	algorithm	algorithm	NOUN
bibechana-57732	113	5	to	to	PART
bibechana-57732	113	6	predict	predict	VERB
bibechana-57732	113	7	the	the	DET
bibechana-57732	113	8	lattice	lattice	NOUN
bibechana-57732	113	9	constant	constant	ADJ
bibechana-57732	113	10	of	of	ADP
bibechana-57732	113	11	such	such	ADJ
bibechana-57732	113	12	system	system	NOUN
bibechana-57732	113	13	.	.	PUNCT
bibechana-57732	114	1	since	since	SCONJ
bibechana-57732	114	2	in	in	ADP
bibechana-57732	114	3	cubic	cubic	ADJ
bibechana-57732	114	4	system	system	NOUN
bibechana-57732	114	5	a	a	DET
bibechana-57732	114	6	=	=	SYM
bibechana-57732	114	7	b	b	NOUN
bibechana-57732	114	8	=	=	SYM
bibechana-57732	114	9	c	c	PROPN
bibechana-57732	114	10	and	and	CCONJ
bibechana-57732	114	11	α	α	NOUN
bibechana-57732	114	12	=	=	X
bibechana-57732	114	13	β	β	X
bibechana-57732	114	14	=	=	SYM
bibechana-57732	114	15	γ	γ	X
bibechana-57732	114	16	,	,	PUNCT
bibechana-57732	114	17	so	so	SCONJ
bibechana-57732	114	18	it	it	PRON
bibechana-57732	114	19	is	be	AUX
bibechana-57732	114	20	sufficient	sufficient	ADJ
bibechana-57732	114	21	to	to	PART
bibechana-57732	114	22	predict	predict	VERB
bibechana-57732	114	23	one	one	NUM
bibechana-57732	114	24	lattice	lattice	NOUN
bibechana-57732	114	25	constant	constant	ADJ
bibechana-57732	114	26	for	for	ADP
bibechana-57732	114	27	this	this	DET
bibechana-57732	114	28	structure	structure	NOUN
bibechana-57732	114	29	.	.	PUNCT
bibechana-57732	115	1	average	average	ADJ
bibechana-57732	115	2	rmse	rmse	NOUN
bibechana-57732	115	3	and	and	CCONJ
bibechana-57732	115	4	mae	mae	PROPN
bibechana-57732	115	5	from	from	ADP
bibechana-57732	115	6	three	three	NUM
bibechana-57732	115	7	validations	validation	NOUN
bibechana-57732	115	8	are	be	AUX
bibechana-57732	115	9	2.62å	2.62å	NUM
bibechana-57732	115	10	and	and	CCONJ
bibechana-57732	115	11	0.824å	0.824å	ADJ
bibechana-57732	115	12	,	,	PUNCT
bibechana-57732	115	13	respectively	respectively	ADV
bibechana-57732	115	14	.	.	PUNCT
bibechana-57732	116	1	figure	figure	NOUN
bibechana-57732	116	2	4	4	NUM
bibechana-57732	116	3	(	(	PUNCT
bibechana-57732	116	4	i	i	NOUN
bibechana-57732	116	5	)	)	PUNCT
bibechana-57732	116	6	shows	show	VERB
bibechana-57732	116	7	that	that	SCONJ
bibechana-57732	116	8	the	the	DET
bibechana-57732	116	9	order	order	NOUN
bibechana-57732	116	10	of	of	ADP
bibechana-57732	116	11	importance	importance	NOUN
bibechana-57732	116	12	of	of	ADP
bibechana-57732	116	13	the	the	DET
bibechana-57732	116	14	parameters	parameter	NOUN
bibechana-57732	116	15	is	be	AUX
bibechana-57732	116	16	density	density	NOUN
bibechana-57732	116	17	,	,	PUNCT
bibechana-57732	116	18	total	total	ADJ
bibechana-57732	116	19	magnetic	magnetic	ADJ
bibechana-57732	116	20	moment	moment	NOUN
bibechana-57732	116	21	,	,	PUNCT
bibechana-57732	116	22	ionic	ionic	ADJ
bibechana-57732	116	23	radius	radius	NOUN
bibechana-57732	116	24	of	of	ADP
bibechana-57732	116	25	first	first	ADJ
bibechana-57732	116	26	element	element	NOUN
bibechana-57732	116	27	,	,	PUNCT
bibechana-57732	116	28	formation	formation	NOUN
bibechana-57732	116	29	energy	energy	NOUN
bibechana-57732	116	30	,	,	PUNCT
bibechana-57732	116	31	oxidation	oxidation	NOUN
bibechana-57732	116	32	state	state	NOUN
bibechana-57732	116	33	of	of	ADP
bibechana-57732	116	34	second	second	ADJ
bibechana-57732	116	35	element	element	NOUN
bibechana-57732	116	36	,	,	PUNCT
bibechana-57732	116	37	ionic	ionic	ADJ
bibechana-57732	116	38	radius	radius	NOUN
bibechana-57732	116	39	of	of	ADP
bibechana-57732	116	40	second	second	ADJ
bibechana-57732	116	41	element	element	NOUN
bibechana-57732	116	42	,	,	PUNCT
bibechana-57732	116	43	oxidation	oxidation	NOUN
bibechana-57732	116	44	state	state	NOUN
bibechana-57732	116	45	of	of	ADP
bibechana-57732	116	46	first	first	ADJ
bibechana-57732	116	47	element	element	NOUN
bibechana-57732	116	48	,	,	PUNCT
bibechana-57732	116	49	and	and	CCONJ
bibechana-57732	116	50	bandgap	bandgap	NOUN
bibechana-57732	116	51	(	(	PUNCT
bibechana-57732	116	52	denoted	denote	VERB
bibechana-57732	116	53	as	as	ADP
bibechana-57732	116	54	density	density	NOUN
bibechana-57732	116	55	,	,	PUNCT
bibechana-57732	116	56	totalmag	totalmag	ADJ
bibechana-57732	116	57	,	,	PUNCT
bibechana-57732	116	58	ra(pm	ra(pm	PROPN
bibechana-57732	116	59	)	)	PUNCT
bibechana-57732	116	60	,	,	PUNCT
bibechana-57732	116	61	forme	forme	PROPN
bibechana-57732	116	62	,	,	PUNCT
bibechana-57732	116	63	oxb	oxb	PROPN
bibechana-57732	116	64	,	,	PUNCT
bibechana-57732	116	65	rb	rb	NOUN
bibechana-57732	116	66	,	,	PUNCT
bibechana-57732	116	67	oxa	oxa	NOUN
bibechana-57732	116	68	,	,	PUNCT
bibechana-57732	116	69	and	and	CCONJ
bibechana-57732	116	70	band	band	NOUN
bibechana-57732	116	71	gap	gap	NOUN
bibechana-57732	116	72	,	,	PUNCT
bibechana-57732	116	73	respectively	respectively	ADV
bibechana-57732	116	74	,	,	PUNCT
bibechana-57732	116	75	in	in	ADP
bibechana-57732	116	76	figure	figure	NOUN
bibechana-57732	116	77	4	4	NUM
bibechana-57732	116	78	.	.	PUNCT
bibechana-57732	117	1	so	so	ADV
bibechana-57732	117	2	it	it	PRON
bibechana-57732	117	3	is	be	AUX
bibechana-57732	117	4	seen	see	VERB
bibechana-57732	117	5	that	that	SCONJ
bibechana-57732	117	6	the	the	DET
bibechana-57732	117	7	density	density	NOUN
bibechana-57732	117	8	has	have	VERB
bibechana-57732	117	9	the	the	DET
bibechana-57732	117	10	most	most	ADV
bibechana-57732	117	11	important	important	ADJ
bibechana-57732	117	12	role	role	NOUN
bibechana-57732	117	13	in	in	ADP
bibechana-57732	117	14	pattern	pattern	NOUN
bibechana-57732	117	15	recognition	recognition	NOUN
bibechana-57732	117	16	by	by	ADP
bibechana-57732	117	17	the	the	DET
bibechana-57732	117	18	model	model	NOUN
bibechana-57732	117	19	,	,	PUNCT
bibechana-57732	117	20	and	and	CCONJ
bibechana-57732	117	21	band	band	NOUN
bibechana-57732	117	22	gap	gap	NOUN
bibechana-57732	117	23	has	have	VERB
bibechana-57732	117	24	the	the	DET
bibechana-57732	117	25	least	least	ADJ
bibechana-57732	117	26	.	.	PUNCT
bibechana-57732	118	1	this	this	PRON
bibechana-57732	118	2	is	be	AUX
bibechana-57732	118	3	because	because	SCONJ
bibechana-57732	118	4	almost	almost	ADV
bibechana-57732	118	5	all	all	DET
bibechana-57732	118	6	data	datum	NOUN
bibechana-57732	118	7	of	of	ADP
bibechana-57732	118	8	cubic	cubic	ADJ
bibechana-57732	118	9	systems	system	NOUN
bibechana-57732	118	10	possess	possess	VERB
bibechana-57732	118	11	zero	zero	NUM
bibechana-57732	118	12	band	band	NOUN
bibechana-57732	118	13	gap	gap	NOUN
bibechana-57732	118	14	.	.	PUNCT
bibechana-57732	119	1	bhupendra	bhupendra	PROPN
bibechana-57732	119	2	sharma	sharma	PROPN
bibechana-57732	119	3	et	et	PROPN
bibechana-57732	119	4	al./	al./	ADV
bibechana-57732	119	5	bibechana	bibechana	PROPN
bibechana-57732	119	6	20	20	NUM
bibechana-57732	119	7	(	(	PUNCT
bibechana-57732	119	8	2023	2023	NUM
bibechana-57732	119	9	)	)	PUNCT
bibechana-57732	119	10	267	267	NUM
bibechana-57732	119	11	-	-	SYM
bibechana-57732	119	12	274	274	NUM
bibechana-57732	119	13	272	272	NUM
bibechana-57732	119	14	table	table	NOUN
bibechana-57732	119	15	1	1	NUM
bibechana-57732	119	16	:	:	PUNCT
bibechana-57732	119	17	comparison	comparison	NOUN
bibechana-57732	119	18	table	table	NOUN
bibechana-57732	119	19	of	of	ADP
bibechana-57732	119	20	predicted	predict	VERB
bibechana-57732	119	21	lattice	lattice	NOUN
bibechana-57732	119	22	constants	constant	NOUN
bibechana-57732	119	23	versus	versus	ADP
bibechana-57732	119	24	their	their	PRON
bibechana-57732	119	25	experimental	experimental	ADJ
bibechana-57732	119	26	/	/	SYM
bibechana-57732	119	27	theoretical	theoretical	ADJ
bibechana-57732	119	28	values	value	NOUN
bibechana-57732	119	29	in	in	ADP
bibechana-57732	119	30	cubic	cubic	ADJ
bibechana-57732	119	31	mx2	mx2	NOUN
bibechana-57732	119	32	system	system	NOUN
bibechana-57732	119	33	.	.	PUNCT
bibechana-57732	120	1	material	material	NOUN
bibechana-57732	120	2	experimental	experimental	ADJ
bibechana-57732	120	3	/	/	SYM
bibechana-57732	120	4	theoretical	theoretical	ADJ
bibechana-57732	120	5	(	(	PUNCT
bibechana-57732	120	6	a	a	NOUN
bibechana-57732	120	7	)	)	PUNCT
bibechana-57732	120	8	predicted	predict	VERB
bibechana-57732	120	9	(	(	PUNCT
bibechana-57732	120	10	a	a	PRON
bibechana-57732	120	11	’	'	PUNCT
bibechana-57732	120	12	)	)	PUNCT
bibechana-57732	121	1	mnte2	mnte2	PROPN
bibechana-57732	121	2	6.69	6.69	NUM
bibechana-57732	121	3	6.17	6.17	NUM
bibechana-57732	121	4	cos2	cos2	NOUN
bibechana-57732	121	5	5.51	5.51	NUM
bibechana-57732	121	6	5.58	5.58	NUM
bibechana-57732	121	7	cose2	cose2	NOUN
bibechana-57732	121	8	5.84	5.84	NUM
bibechana-57732	121	9	5.89	5.89	NUM
bibechana-57732	121	10	nis2	nis2	NOUN
bibechana-57732	121	11	5.61	5.61	NUM
bibechana-57732	121	12	5.71	5.71	NUM
bibechana-57732	121	13	nise2	nise2	NOUN
bibechana-57732	121	14	5.94	5.94	NUM
bibechana-57732	121	15	6.13	6.13	NUM
bibechana-57732	121	16	ys2	ys2	NOUN
bibechana-57732	121	17	7.83	7.83	NUM
bibechana-57732	121	18	5.87	5.87	NUM
bibechana-57732	121	19	cuse2	cuse2	NOUN
bibechana-57732	121	20	6.16	6.16	NUM
bibechana-57732	121	21	6.31	6.31	NUM
bibechana-57732	121	22	3.2	3.2	NUM
bibechana-57732	121	23	lattice	lattice	NOUN
bibechana-57732	121	24	constants	constant	NOUN
bibechana-57732	121	25	prediction	prediction	NOUN
bibechana-57732	121	26	for	for	ADP
bibechana-57732	121	27	trigonal	trigonal	ADJ
bibechana-57732	121	28	systems	system	NOUN
bibechana-57732	121	29	thirty	thirty	NUM
bibechana-57732	121	30	-	-	PUNCT
bibechana-57732	121	31	one	one	NUM
bibechana-57732	121	32	trigonal	trigonal	ADJ
bibechana-57732	121	33	tmdcs	tmdc	NOUN
bibechana-57732	121	34	have	have	AUX
bibechana-57732	121	35	been	be	AUX
bibechana-57732	121	36	taken	take	VERB
bibechana-57732	121	37	from	from	ADP
bibechana-57732	121	38	project	project	NOUN
bibechana-57732	121	39	materials	material	NOUN
bibechana-57732	121	40	to	to	PART
bibechana-57732	121	41	predict	predict	VERB
bibechana-57732	121	42	the	the	DET
bibechana-57732	121	43	lattice	lattice	PROPN
bibechana-57732	121	44	constants	constant	NOUN
bibechana-57732	121	45	of	of	ADP
bibechana-57732	121	46	such	such	ADJ
bibechana-57732	121	47	systems	system	NOUN
bibechana-57732	121	48	using	use	VERB
bibechana-57732	121	49	a	a	DET
bibechana-57732	121	50	gbrt	gbrt	ADJ
bibechana-57732	121	51	model	model	NOUN
bibechana-57732	121	52	.	.	PUNCT
bibechana-57732	122	1	in	in	ADP
bibechana-57732	122	2	the	the	DET
bibechana-57732	122	3	trigonal	trigonal	ADJ
bibechana-57732	122	4	crystal	crystal	NOUN
bibechana-57732	122	5	system	system	NOUN
bibechana-57732	122	6	,	,	PUNCT
bibechana-57732	122	7	the	the	DET
bibechana-57732	122	8	relation	relation	NOUN
bibechana-57732	122	9	between	between	ADP
bibechana-57732	122	10	major	major	ADJ
bibechana-57732	122	11	lattice	lattice	NOUN
bibechana-57732	122	12	parameters	parameter	NOUN
bibechana-57732	122	13	(	(	PUNCT
bibechana-57732	122	14	lattice	lattice	PROPN
bibechana-57732	122	15	constants	constant	NOUN
bibechana-57732	122	16	and	and	CCONJ
bibechana-57732	122	17	lattice	lattice	NOUN
bibechana-57732	122	18	angles	angle	NOUN
bibechana-57732	122	19	)	)	PUNCT
bibechana-57732	122	20	is	be	AUX
bibechana-57732	122	21	given	give	VERB
bibechana-57732	122	22	by	by	ADP
bibechana-57732	122	23	a=	a=	PROPN
bibechana-57732	122	24	b	b	X
bibechana-57732	122	25	̸=c	̸=c	PROPN
bibechana-57732	122	26	,	,	PUNCT
bibechana-57732	122	27	α	α	X
bibechana-57732	122	28	=	=	PUNCT
bibechana-57732	122	29	β	β	X
bibechana-57732	122	30	=	=	SYM
bibechana-57732	122	31	900	900	NUM
bibechana-57732	122	32	and	and	CCONJ
bibechana-57732	122	33	γ	γ	X
bibechana-57732	122	34	=	=	SYM
bibechana-57732	122	35	1200	1200	NUM
bibechana-57732	122	36	.	.	PUNCT
bibechana-57732	123	1	the	the	DET
bibechana-57732	123	2	calculated	calculate	VERB
bibechana-57732	123	3	predictions	prediction	NOUN
bibechana-57732	123	4	of	of	ADP
bibechana-57732	123	5	lattice	lattice	NOUN
bibechana-57732	123	6	constants	constant	NOUN
bibechana-57732	123	7	are	be	AUX
bibechana-57732	123	8	shown	show	VERB
bibechana-57732	123	9	in	in	ADP
bibechana-57732	123	10	table	table	NOUN
bibechana-57732	123	11	2	2	NUM
bibechana-57732	123	12	.	.	PUNCT
bibechana-57732	124	1	figure	figure	NOUN
bibechana-57732	124	2	4(ii	4(ii	NUM
bibechana-57732	124	3	)	)	PUNCT
bibechana-57732	124	4	shows	show	VERB
bibechana-57732	124	5	that	that	SCONJ
bibechana-57732	124	6	the	the	DET
bibechana-57732	124	7	prediction	prediction	NOUN
bibechana-57732	124	8	of	of	ADP
bibechana-57732	124	9	a	a	PRON
bibechana-57732	124	10	is	be	AUX
bibechana-57732	124	11	mostly	mostly	ADV
bibechana-57732	124	12	influenced	influence	VERB
bibechana-57732	124	13	by	by	ADP
bibechana-57732	124	14	the	the	DET
bibechana-57732	124	15	ionic	ionic	ADJ
bibechana-57732	124	16	radius	radius	NOUN
bibechana-57732	124	17	to	to	PART
bibechana-57732	124	18	draw	draw	VERB
bibechana-57732	124	19	the	the	DET
bibechana-57732	124	20	pattern	pattern	NOUN
bibechana-57732	124	21	relation	relation	NOUN
bibechana-57732	124	22	,	,	PUNCT
bibechana-57732	124	23	whereas	whereas	SCONJ
bibechana-57732	124	24	the	the	DET
bibechana-57732	124	25	lattice	lattice	NOUN
bibechana-57732	124	26	angles	angle	NOUN
bibechana-57732	124	27	have	have	VERB
bibechana-57732	124	28	the	the	DET
bibechana-57732	124	29	least	least	ADV
bibechana-57732	124	30	important	important	ADJ
bibechana-57732	124	31	role	role	NOUN
bibechana-57732	124	32	,	,	PUNCT
bibechana-57732	124	33	primarily	primarily	ADV
bibechana-57732	124	34	because	because	SCONJ
bibechana-57732	124	35	the	the	DET
bibechana-57732	124	36	angles	angle	NOUN
bibechana-57732	124	37	of	of	ADP
bibechana-57732	124	38	all	all	DET
bibechana-57732	124	39	the	the	DET
bibechana-57732	124	40	systems	system	NOUN
bibechana-57732	124	41	are	be	AUX
bibechana-57732	124	42	identical	identical	ADJ
bibechana-57732	124	43	.	.	PUNCT
bibechana-57732	125	1	the	the	DET
bibechana-57732	125	2	average	average	ADJ
bibechana-57732	125	3	standard	standard	ADJ
bibechana-57732	125	4	errors	error	NOUN
bibechana-57732	125	5	after	after	SCONJ
bibechana-57732	125	6	three	three	NUM
bibechana-57732	125	7	validations	validation	NOUN
bibechana-57732	125	8	are	be	AUX
bibechana-57732	125	9	:	:	PUNCT
bibechana-57732	125	10	rmse	rmse	ADJ
bibechana-57732	125	11	=	=	PUNCT
bibechana-57732	125	12	0.0542	0.0542	NUM
bibechana-57732	125	13	å	å	PROPN
bibechana-57732	125	14	and	and	CCONJ
bibechana-57732	125	15	mae	mae	PROPN
bibechana-57732	125	16	=	=	PROPN
bibechana-57732	125	17	0.205	0.205	NUM
bibechana-57732	125	18	å	å	NOUN
bibechana-57732	125	19	.	.	PUNCT
bibechana-57732	126	1	in	in	ADP
bibechana-57732	126	2	figure	figure	NOUN
bibechana-57732	126	3	4(ii	4(ii	NUM
bibechana-57732	126	4	)	)	PUNCT
bibechana-57732	126	5	and	and	CCONJ
bibechana-57732	126	6	(	(	PUNCT
bibechana-57732	126	7	iii	iii	NOUN
bibechana-57732	126	8	)	)	PUNCT
bibechana-57732	126	9	,	,	PUNCT
bibechana-57732	126	10	a	a	PRON
bibechana-57732	126	11	and	and	CCONJ
bibechana-57732	126	12	b	b	NOUN
bibechana-57732	126	13	are	be	AUX
bibechana-57732	126	14	equal	equal	ADJ
bibechana-57732	126	15	for	for	ADP
bibechana-57732	126	16	the	the	DET
bibechana-57732	126	17	trigonal	trigonal	ADJ
bibechana-57732	126	18	system	system	NOUN
bibechana-57732	126	19	,	,	PUNCT
bibechana-57732	126	20	so	so	ADV
bibechana-57732	126	21	almost	almost	ADV
bibechana-57732	126	22	identical	identical	ADJ
bibechana-57732	126	23	errors	error	NOUN
bibechana-57732	126	24	are	be	AUX
bibechana-57732	126	25	seen	see	VERB
bibechana-57732	126	26	in	in	ADP
bibechana-57732	126	27	predicting	predict	VERB
bibechana-57732	126	28	b	b	NOUN
bibechana-57732	126	29	with	with	ADP
bibechana-57732	126	30	the	the	DET
bibechana-57732	126	31	same	same	ADJ
bibechana-57732	126	32	feature	feature	NOUN
bibechana-57732	126	33	roles	role	NOUN
bibechana-57732	126	34	.	.	PUNCT
bibechana-57732	127	1	in	in	ADP
bibechana-57732	127	2	the	the	DET
bibechana-57732	127	3	prediction	prediction	NOUN
bibechana-57732	127	4	of	of	ADP
bibechana-57732	127	5	c	c	NOUN
bibechana-57732	127	6	,	,	PUNCT
bibechana-57732	127	7	formation	formation	NOUN
bibechana-57732	127	8	energy	energy	NOUN
bibechana-57732	127	9	has	have	AUX
bibechana-57732	127	10	shown	show	VERB
bibechana-57732	127	11	the	the	DET
bibechana-57732	127	12	most	most	ADV
bibechana-57732	127	13	important	important	ADJ
bibechana-57732	127	14	role	role	NOUN
bibechana-57732	127	15	in	in	ADP
bibechana-57732	127	16	pattern	pattern	NOUN
bibechana-57732	127	17	recognition	recognition	NOUN
bibechana-57732	127	18	,	,	PUNCT
bibechana-57732	127	19	while	while	SCONJ
bibechana-57732	127	20	density	density	NOUN
bibechana-57732	127	21	contribution	contribution	NOUN
bibechana-57732	127	22	is	be	AUX
bibechana-57732	127	23	in	in	ADP
bibechana-57732	127	24	second	second	ADJ
bibechana-57732	127	25	place	place	NOUN
bibechana-57732	127	26	,	,	PUNCT
bibechana-57732	127	27	as	as	SCONJ
bibechana-57732	127	28	shown	show	VERB
bibechana-57732	127	29	in	in	ADP
bibechana-57732	127	30	figure	figure	NOUN
bibechana-57732	127	31	4(iv	4(iv	NUM
bibechana-57732	127	32	)	)	PUNCT
bibechana-57732	127	33	.	.	PUNCT
bibechana-57732	128	1	the	the	DET
bibechana-57732	128	2	average	average	ADJ
bibechana-57732	128	3	standard	standard	ADJ
bibechana-57732	128	4	errors	error	NOUN
bibechana-57732	128	5	after	after	SCONJ
bibechana-57732	128	6	three	three	NUM
bibechana-57732	128	7	validations	validation	NOUN
bibechana-57732	128	8	are	be	AUX
bibechana-57732	128	9	found	find	VERB
bibechana-57732	128	10	to	to	PART
bibechana-57732	128	11	be	be	AUX
bibechana-57732	128	12	rmse	rmse	ADJ
bibechana-57732	128	13	=	=	PUNCT
bibechana-57732	128	14	0.547	0.547	NUM
bibechana-57732	128	15	å	å	PROPN
bibechana-57732	128	16	and	and	CCONJ
bibechana-57732	128	17	mae	mae	PROPN
bibechana-57732	129	1	=	=	PROPN
bibechana-57732	129	2	0.462	0.462	NUM
bibechana-57732	129	3	å	å	NOUN
bibechana-57732	129	4	.	.	PUNCT
bibechana-57732	129	5	table	table	NOUN
bibechana-57732	129	6	2	2	NUM
bibechana-57732	129	7	:	:	PUNCT
bibechana-57732	129	8	comparison	comparison	NOUN
bibechana-57732	129	9	table	table	NOUN
bibechana-57732	129	10	of	of	ADP
bibechana-57732	129	11	predicted	predict	VERB
bibechana-57732	129	12	lattice	lattice	NOUN
bibechana-57732	129	13	constants	constant	NOUN
bibechana-57732	129	14	versus	versus	ADP
bibechana-57732	129	15	their	their	PRON
bibechana-57732	129	16	experimental	experimental	ADJ
bibechana-57732	129	17	/	/	SYM
bibechana-57732	129	18	theoretical	theoretical	ADJ
bibechana-57732	129	19	values	value	NOUN
bibechana-57732	129	20	in	in	ADP
bibechana-57732	129	21	trigonal	trigonal	ADJ
bibechana-57732	129	22	mx2	mx2	NOUN
bibechana-57732	129	23	systems	system	NOUN
bibechana-57732	129	24	.	.	PUNCT
bibechana-57732	130	1	material	material	VERB
bibechana-57732	130	2	a	a	DET
bibechana-57732	130	3	a′	a′	PROPN
bibechana-57732	130	4	b	b	SYM
bibechana-57732	130	5	b′	b′	NUM
bibechana-57732	130	6	c	c	NOUN
bibechana-57732	130	7	c′	c′	VERB
bibechana-57732	130	8	fete2	fete2	NOUN
bibechana-57732	130	9	3.75	3.75	NUM
bibechana-57732	130	10	3.75	3.75	NUM
bibechana-57732	130	11	3.75	3.75	NUM
bibechana-57732	130	12	3.66	3.66	NUM
bibechana-57732	130	13	5.84	5.84	NUM
bibechana-57732	130	14	5.23	5.23	NUM
bibechana-57732	130	15	vte2	vte2	NOUN
bibechana-57732	130	16	3.66	3.66	NUM
bibechana-57732	130	17	3.64	3.64	NUM
bibechana-57732	130	18	3.66	3.66	NUM
bibechana-57732	130	19	3.55	3.55	NUM
bibechana-57732	130	20	6.95	6.95	NUM
bibechana-57732	130	21	6.13	6.13	NUM
bibechana-57732	130	22	cote2	cote2	NOUN
bibechana-57732	130	23	3.79	3.79	NUM
bibechana-57732	130	24	4.02	4.02	NUM
bibechana-57732	130	25	3.79	3.79	NUM
bibechana-57732	130	26	4.00	4.00	NUM
bibechana-57732	130	27	5.56	5.56	NUM
bibechana-57732	130	28	5.19	5.19	NUM
bibechana-57732	130	29	cute2	cute2	NOUN
bibechana-57732	130	30	4.02	4.02	NUM
bibechana-57732	130	31	3.90	3.90	NUM
bibechana-57732	130	32	4.02	4.02	NUM
bibechana-57732	130	33	3.90	3.90	NUM
bibechana-57732	130	34	5.10	5.10	NUM
bibechana-57732	130	35	5.24	5.24	NUM
bibechana-57732	130	36	znte2	znte2	NOUN
bibechana-57732	130	37	4.19	4.19	NUM
bibechana-57732	130	38	3.83	3.83	NUM
bibechana-57732	130	39	4.19	4.19	NUM
bibechana-57732	130	40	3.83	3.83	NUM
bibechana-57732	130	41	5.20	5.20	NUM
bibechana-57732	130	42	6.12	6.12	NUM
bibechana-57732	130	43	zrte2	zrte2	NOUN
bibechana-57732	130	44	3.98	3.98	NUM
bibechana-57732	130	45	3.79	3.79	NUM
bibechana-57732	130	46	3.98	3.98	NUM
bibechana-57732	130	47	3.79	3.79	NUM
bibechana-57732	130	48	7.00	7.00	NUM
bibechana-57732	130	49	6.73	6.73	NUM
bibechana-57732	130	50	4	4	NUM
bibechana-57732	130	51	conclusions	conclusion	NOUN
bibechana-57732	130	52	in	in	ADP
bibechana-57732	130	53	this	this	DET
bibechana-57732	130	54	work	work	NOUN
bibechana-57732	130	55	,	,	PUNCT
bibechana-57732	130	56	the	the	DET
bibechana-57732	130	57	prediction	prediction	NOUN
bibechana-57732	130	58	of	of	ADP
bibechana-57732	130	59	lattice	lattice	NOUN
bibechana-57732	130	60	constants	constant	NOUN
bibechana-57732	130	61	of	of	ADP
bibechana-57732	130	62	cubic	cubic	ADJ
bibechana-57732	130	63	and	and	CCONJ
bibechana-57732	130	64	trigonal	trigonal	ADJ
bibechana-57732	130	65	mx2	mx2	NOUN
bibechana-57732	130	66	systems	system	NOUN
bibechana-57732	130	67	has	have	AUX
bibechana-57732	130	68	been	be	AUX
bibechana-57732	130	69	done	do	VERB
bibechana-57732	130	70	through	through	ADP
bibechana-57732	130	71	a	a	DET
bibechana-57732	130	72	gradient	gradient	ADJ
bibechana-57732	130	73	boosting	boost	VERB
bibechana-57732	130	74	regression	regression	NOUN
bibechana-57732	130	75	model	model	NOUN
bibechana-57732	130	76	of	of	ADP
bibechana-57732	130	77	machine	machine	NOUN
bibechana-57732	130	78	learning	learning	NOUN
bibechana-57732	130	79	.	.	PUNCT
bibechana-57732	131	1	we	we	PRON
bibechana-57732	131	2	have	have	AUX
bibechana-57732	131	3	predicted	predict	VERB
bibechana-57732	131	4	a	a	DET
bibechana-57732	131	5	,	,	PUNCT
bibechana-57732	131	6	b	b	NOUN
bibechana-57732	131	7	,	,	PUNCT
bibechana-57732	131	8	and	and	CCONJ
bibechana-57732	131	9	c	c	X
bibechana-57732	131	10	on	on	ADP
bibechana-57732	131	11	the	the	DET
bibechana-57732	131	12	basis	basis	NOUN
bibechana-57732	131	13	of	of	ADP
bibechana-57732	131	14	patterns	pattern	NOUN
bibechana-57732	131	15	or	or	CCONJ
bibechana-57732	131	16	relationships	relationship	NOUN
bibechana-57732	131	17	drawn	draw	VERB
bibechana-57732	131	18	through	through	ADP
bibechana-57732	131	19	training	train	VERB
bibechana-57732	131	20	the	the	DET
bibechana-57732	131	21	algorithm	algorithm	NOUN
bibechana-57732	131	22	with	with	ADP
bibechana-57732	131	23	features	feature	NOUN
bibechana-57732	131	24	such	such	ADJ
bibechana-57732	131	25	as	as	ADP
bibechana-57732	131	26	ionic	ionic	ADJ
bibechana-57732	131	27	radius	radius	NOUN
bibechana-57732	131	28	of	of	ADP
bibechana-57732	131	29	atoms	atom	NOUN
bibechana-57732	131	30	,	,	PUNCT
bibechana-57732	131	31	lattice	lattice	NOUN
bibechana-57732	131	32	angles	angle	NOUN
bibechana-57732	131	33	,	,	PUNCT
bibechana-57732	131	34	bandgap	bandgap	NOUN
bibechana-57732	131	35	,	,	PUNCT
bibechana-57732	131	36	formation	formation	NOUN
bibechana-57732	131	37	energy	energy	NOUN
bibechana-57732	131	38	,	,	PUNCT
bibechana-57732	131	39	total	total	ADJ
bibechana-57732	131	40	magnetic	magnetic	ADJ
bibechana-57732	131	41	moment	moment	NOUN
bibechana-57732	131	42	,	,	PUNCT
bibechana-57732	131	43	density	density	NOUN
bibechana-57732	131	44	,	,	PUNCT
bibechana-57732	131	45	and	and	CCONJ
bibechana-57732	131	46	oxidation	oxidation	NOUN
bibechana-57732	131	47	states	state	NOUN
bibechana-57732	131	48	.	.	PUNCT
bibechana-57732	132	1	in	in	ADP
bibechana-57732	132	2	the	the	DET
bibechana-57732	132	3	cubic	cubic	ADJ
bibechana-57732	132	4	system	system	NOUN
bibechana-57732	132	5	,	,	PUNCT
bibechana-57732	132	6	the	the	DET
bibechana-57732	132	7	rmse	rmse	NOUN
bibechana-57732	132	8	and	and	CCONJ
bibechana-57732	132	9	mae	mae	PROPN
bibechana-57732	132	10	in	in	ADP
bibechana-57732	132	11	the	the	DET
bibechana-57732	132	12	prediction	prediction	NOUN
bibechana-57732	132	13	of	of	ADP
bibechana-57732	132	14	lattice	lattice	NOUN
bibechana-57732	132	15	constants	constant	NOUN
bibechana-57732	132	16	were	be	AUX
bibechana-57732	132	17	found	find	VERB
bibechana-57732	132	18	to	to	PART
bibechana-57732	132	19	be	be	AUX
bibechana-57732	132	20	2.62å	2.62å	NUM
bibechana-57732	132	21	and	and	CCONJ
bibechana-57732	132	22	0.824å	0.824å	NOUN
bibechana-57732	132	23	,	,	PUNCT
bibechana-57732	132	24	respectively	respectively	ADV
bibechana-57732	132	25	.	.	PUNCT
bibechana-57732	133	1	in	in	ADP
bibechana-57732	133	2	the	the	DET
bibechana-57732	133	3	trigonal	trigonal	ADJ
bibechana-57732	133	4	system	system	NOUN
bibechana-57732	133	5	,	,	PUNCT
bibechana-57732	133	6	the	the	DET
bibechana-57732	133	7	rmse	rmse	NOUN
bibechana-57732	133	8	of	of	ADP
bibechana-57732	133	9	a	a	DET
bibechana-57732	133	10	=	=	SYM
bibechana-57732	133	11	b	b	PROPN
bibechana-57732	133	12	and	and	CCONJ
bibechana-57732	133	13	c	c	PROPN
bibechana-57732	133	14	were	be	AUX
bibechana-57732	133	15	0.0542å	0.0542å	NUM
bibechana-57732	133	16	and	and	CCONJ
bibechana-57732	133	17	0.547å	0.547å	NOUN
bibechana-57732	133	18	,	,	PUNCT
bibechana-57732	133	19	respectively	respectively	ADV
bibechana-57732	133	20	.	.	PUNCT
bibechana-57732	134	1	whereas	whereas	SCONJ
bibechana-57732	134	2	,	,	PUNCT
bibechana-57732	134	3	the	the	DET
bibechana-57732	134	4	mae	mae	PROPN
bibechana-57732	134	5	of	of	ADP
bibechana-57732	134	6	a	a	DET
bibechana-57732	134	7	=	=	SYM
bibechana-57732	134	8	b	b	PROPN
bibechana-57732	134	9	and	and	CCONJ
bibechana-57732	134	10	c	c	PROPN
bibechana-57732	134	11	were	be	AUX
bibechana-57732	134	12	0.205å	0.205å	ADJ
bibechana-57732	134	13	and	and	CCONJ
bibechana-57732	134	14	0.462å	0.462å	NOUN
bibechana-57732	134	15	,	,	PUNCT
bibechana-57732	134	16	respectively	respectively	ADV
bibechana-57732	134	17	.	.	PUNCT
bibechana-57732	135	1	the	the	DET
bibechana-57732	135	2	barplot	barplot	NOUN
bibechana-57732	135	3	of	of	ADP
bibechana-57732	135	4	cubical	cubical	ADJ
bibechana-57732	135	5	systems	system	NOUN
bibechana-57732	135	6	shows	show	VERB
bibechana-57732	135	7	that	that	SCONJ
bibechana-57732	135	8	the	the	DET
bibechana-57732	135	9	contribution	contribution	NOUN
bibechana-57732	135	10	of	of	ADP
bibechana-57732	135	11	density	density	NOUN
bibechana-57732	135	12	is	be	AUX
bibechana-57732	135	13	the	the	DET
bibechana-57732	135	14	most	most	ADV
bibechana-57732	135	15	significant	significant	ADJ
bibechana-57732	135	16	in	in	ADP
bibechana-57732	135	17	prediction	prediction	NOUN
bibechana-57732	135	18	,	,	PUNCT
bibechana-57732	135	19	followed	follow	VERB
bibechana-57732	135	20	by	by	ADP
bibechana-57732	135	21	total	total	ADJ
bibechana-57732	135	22	magnetic	magnetic	ADJ
bibechana-57732	135	23	moment	moment	NOUN
bibechana-57732	135	24	and	and	CCONJ
bibechana-57732	135	25	ionic	ionic	ADJ
bibechana-57732	135	26	radius	radius	NOUN
bibechana-57732	135	27	.	.	PUNCT
bibechana-57732	136	1	whereas	whereas	SCONJ
bibechana-57732	136	2	,	,	PUNCT
bibechana-57732	136	3	the	the	DET
bibechana-57732	136	4	barplot	barplot	NOUN
bibechana-57732	136	5	of	of	ADP
bibechana-57732	136	6	the	the	DET
bibechana-57732	136	7	trigonal	trigonal	ADJ
bibechana-57732	136	8	system	system	NOUN
bibechana-57732	136	9	indicates	indicate	VERB
bibechana-57732	136	10	ionic	ionic	ADJ
bibechana-57732	136	11	radius	radius	NOUN
bibechana-57732	136	12	as	as	ADP
bibechana-57732	136	13	the	the	DET
bibechana-57732	136	14	major	major	ADJ
bibechana-57732	136	15	contributor	contributor	NOUN
bibechana-57732	136	16	in	in	ADP
bibechana-57732	136	17	the	the	DET
bibechana-57732	136	18	prediction	prediction	NOUN
bibechana-57732	136	19	of	of	ADP
bibechana-57732	136	20	a	a	DET
bibechana-57732	136	21	=	=	SYM
bibechana-57732	136	22	b	b	NOUN
bibechana-57732	136	23	,	,	PUNCT
bibechana-57732	136	24	and	and	CCONJ
bibechana-57732	136	25	formation	formation	NOUN
bibechana-57732	136	26	energy	energy	NOUN
bibechana-57732	136	27	as	as	ADP
bibechana-57732	136	28	the	the	DET
bibechana-57732	136	29	major	major	ADJ
bibechana-57732	136	30	contributing	contribute	VERB
bibechana-57732	136	31	parameter	parameter	NOUN
bibechana-57732	136	32	to	to	PART
bibechana-57732	136	33	predict	predict	VERB
bibechana-57732	136	34	c.	c.	PROPN
bibechana-57732	136	35	dft	dft	PROPN
bibechana-57732	136	36	calculations	calculation	NOUN
bibechana-57732	136	37	and	and	CCONJ
bibechana-57732	136	38	experiments	experiment	NOUN
bibechana-57732	136	39	are	be	AUX
bibechana-57732	136	40	discovering	discover	VERB
bibechana-57732	136	41	a	a	DET
bibechana-57732	136	42	plethora	plethora	NOUN
bibechana-57732	136	43	of	of	ADP
bibechana-57732	136	44	materials	material	NOUN
bibechana-57732	136	45	day	day	NOUN
bibechana-57732	136	46	by	by	ADP
bibechana-57732	136	47	day	day	NOUN
bibechana-57732	136	48	.	.	PUNCT
bibechana-57732	137	1	hence	hence	ADV
bibechana-57732	137	2	,	,	PUNCT
bibechana-57732	137	3	a	a	DET
bibechana-57732	137	4	large	large	ADJ
bibechana-57732	137	5	collection	collection	NOUN
bibechana-57732	137	6	of	of	ADP
bibechana-57732	137	7	data	datum	NOUN
bibechana-57732	137	8	can	can	AUX
bibechana-57732	137	9	be	be	AUX
bibechana-57732	137	10	acquired	acquire	VERB
bibechana-57732	137	11	in	in	ADP
bibechana-57732	137	12	the	the	DET
bibechana-57732	137	13	field	field	NOUN
bibechana-57732	137	14	of	of	ADP
bibechana-57732	137	15	2d	2d	NOUN
bibechana-57732	137	16	-	-	PUNCT
bibechana-57732	137	17	tmds	tmds	NOUN
bibechana-57732	137	18	in	in	ADP
bibechana-57732	137	19	the	the	DET
bibechana-57732	137	20	near	near	ADJ
bibechana-57732	137	21	future	future	NOUN
bibechana-57732	137	22	.	.	PUNCT
bibechana-57732	138	1	the	the	DET
bibechana-57732	138	2	consequence	consequence	NOUN
bibechana-57732	138	3	is	be	AUX
bibechana-57732	138	4	that	that	SCONJ
bibechana-57732	138	5	the	the	DET
bibechana-57732	138	6	huge	huge	ADJ
bibechana-57732	138	7	database	database	NOUN
bibechana-57732	138	8	could	could	AUX
bibechana-57732	138	9	be	be	AUX
bibechana-57732	138	10	used	use	VERB
bibechana-57732	138	11	in	in	ADP
bibechana-57732	138	12	machine	machine	NOUN
bibechana-57732	138	13	learning	learn	VERB
bibechana-57732	138	14	to	to	PART
bibechana-57732	138	15	accelerate	accelerate	VERB
bibechana-57732	138	16	materials	material	NOUN
bibechana-57732	138	17	discovery	discovery	NOUN
bibechana-57732	138	18	with	with	ADP
bibechana-57732	138	19	higher	high	ADJ
bibechana-57732	138	20	precision	precision	NOUN
bibechana-57732	138	21	in	in	ADP
bibechana-57732	138	22	the	the	DET
bibechana-57732	138	23	least	least	ADJ
bibechana-57732	138	24	amount	amount	NOUN
bibechana-57732	138	25	of	of	ADP
bibechana-57732	138	26	time	time	NOUN
bibechana-57732	138	27	.	.	PUNCT
bibechana-57732	139	1	thereafter	thereafter	ADV
bibechana-57732	139	2	,	,	PUNCT
bibechana-57732	139	3	not	not	PART
bibechana-57732	139	4	only	only	ADV
bibechana-57732	139	5	lattice	lattice	NOUN
bibechana-57732	139	6	constants	constant	NOUN
bibechana-57732	139	7	but	but	CCONJ
bibechana-57732	139	8	every	every	DET
bibechana-57732	139	9	latbhupendra	latbhupendra	PROPN
bibechana-57732	139	10	sharma	sharma	PROPN
bibechana-57732	139	11	et	et	PROPN
bibechana-57732	139	12	al./	al./	ADV
bibechana-57732	139	13	bibechana	bibechana	PROPN
bibechana-57732	139	14	20	20	NUM
bibechana-57732	139	15	(	(	PUNCT
bibechana-57732	139	16	2023	2023	NUM
bibechana-57732	139	17	)	)	PUNCT
bibechana-57732	139	18	267	267	NUM
bibechana-57732	139	19	-	-	SYM
bibechana-57732	139	20	274	274	NUM
bibechana-57732	139	21	273	273	NUM
bibechana-57732	139	22	tice	tice	NOUN
bibechana-57732	139	23	parameter	parameter	NOUN
bibechana-57732	139	24	we	we	PRON
bibechana-57732	139	25	desire	desire	VERB
bibechana-57732	139	26	can	can	AUX
bibechana-57732	139	27	be	be	AUX
bibechana-57732	139	28	predicted	predict	VERB
bibechana-57732	139	29	with	with	ADP
bibechana-57732	139	30	extreme	extreme	ADJ
bibechana-57732	139	31	accuracy	accuracy	NOUN
bibechana-57732	139	32	.	.	PUNCT
bibechana-57732	140	1	applications	application	NOUN
bibechana-57732	140	2	the	the	DET
bibechana-57732	140	3	cubic	cubic	ADJ
bibechana-57732	140	4	and	and	CCONJ
bibechana-57732	140	5	trigonal	trigonal	ADJ
bibechana-57732	140	6	tmds	tmds	NOUN
bibechana-57732	140	7	are	be	AUX
bibechana-57732	140	8	one	one	NUM
bibechana-57732	140	9	of	of	ADP
bibechana-57732	140	10	most	most	ADV
bibechana-57732	140	11	stable	stable	ADJ
bibechana-57732	140	12	,	,	PUNCT
bibechana-57732	140	13	extensively	extensively	ADV
bibechana-57732	140	14	researched	research	VERB
bibechana-57732	140	15	and	and	CCONJ
bibechana-57732	140	16	then	then	ADV
bibechana-57732	140	17	advantageous	advantageous	ADJ
bibechana-57732	140	18	form	form	NOUN
bibechana-57732	140	19	of	of	ADP
bibechana-57732	140	20	2d	2d	NUM
bibechana-57732	140	21	materials	material	NOUN
bibechana-57732	140	22	.	.	PUNCT
bibechana-57732	141	1	predicting	predict	VERB
bibechana-57732	141	2	their	their	PRON
bibechana-57732	141	3	lattice	lattice	NOUN
bibechana-57732	141	4	parameters	parameter	NOUN
bibechana-57732	141	5	using	use	VERB
bibechana-57732	141	6	machine	machine	NOUN
bibechana-57732	141	7	learning	learning	NOUN
bibechana-57732	141	8	has	have	VERB
bibechana-57732	141	9	numerous	numerous	ADJ
bibechana-57732	141	10	practical	practical	ADJ
bibechana-57732	141	11	implications	implication	NOUN
bibechana-57732	141	12	across	across	ADP
bibechana-57732	141	13	materials	material	NOUN
bibechana-57732	141	14	science	science	NOUN
bibechana-57732	141	15	and	and	CCONJ
bibechana-57732	141	16	related	related	ADJ
bibechana-57732	141	17	fields	field	NOUN
bibechana-57732	141	18	.	.	PUNCT
bibechana-57732	142	1	these	these	DET
bibechana-57732	142	2	predictions	prediction	NOUN
bibechana-57732	142	3	can	can	AUX
bibechana-57732	142	4	expedite	expedite	VERB
bibechana-57732	142	5	materials	material	NOUN
bibechana-57732	142	6	discovery	discovery	NOUN
bibechana-57732	142	7	by	by	ADP
bibechana-57732	142	8	guiding	guide	VERB
bibechana-57732	142	9	researchers	researcher	NOUN
bibechana-57732	142	10	toward	toward	ADP
bibechana-57732	142	11	promising	promise	VERB
bibechana-57732	142	12	tmd	tmd	NOUN
bibechana-57732	142	13	combinations	combination	NOUN
bibechana-57732	142	14	,	,	PUNCT
bibechana-57732	142	15	impacting	impact	VERB
bibechana-57732	142	16	areas	area	NOUN
bibechana-57732	142	17	like	like	ADP
bibechana-57732	142	18	catalysis	catalysis	NOUN
bibechana-57732	142	19	and	and	CCONJ
bibechana-57732	142	20	energy	energy	NOUN
bibechana-57732	142	21	storage	storage	NOUN
bibechana-57732	142	22	.	.	PUNCT
bibechana-57732	143	1	moreover	moreover	ADV
bibechana-57732	143	2	,	,	PUNCT
bibechana-57732	143	3	the	the	DET
bibechana-57732	143	4	precise	precise	ADJ
bibechana-57732	143	5	control	control	NOUN
bibechana-57732	143	6	offered	offer	VERB
bibechana-57732	143	7	by	by	ADP
bibechana-57732	143	8	these	these	DET
bibechana-57732	143	9	predictions	prediction	NOUN
bibechana-57732	143	10	aids	aid	NOUN
bibechana-57732	143	11	in	in	ADP
bibechana-57732	143	12	designing	design	VERB
bibechana-57732	143	13	tmds	tmds	NOUN
bibechana-57732	143	14	for	for	ADP
bibechana-57732	143	15	electronic	electronic	ADJ
bibechana-57732	143	16	and	and	CCONJ
bibechana-57732	143	17	optical	optical	ADJ
bibechana-57732	143	18	applications	application	NOUN
bibechana-57732	143	19	,	,	PUNCT
bibechana-57732	143	20	influencing	influence	VERB
bibechana-57732	143	21	the	the	DET
bibechana-57732	143	22	development	development	NOUN
bibechana-57732	143	23	of	of	ADP
bibechana-57732	143	24	semiconductors	semiconductor	NOUN
bibechana-57732	143	25	,	,	PUNCT
bibechana-57732	143	26	photodetectors	photodetector	NOUN
bibechana-57732	143	27	,	,	PUNCT
bibechana-57732	143	28	and	and	CCONJ
bibechana-57732	143	29	optoelectronic	optoelectronic	ADJ
bibechana-57732	143	30	devices	device	NOUN
bibechana-57732	143	31	.	.	PUNCT
bibechana-57732	144	1	this	this	PRON
bibechana-57732	144	2	can	can	AUX
bibechana-57732	144	3	lead	lead	VERB
bibechana-57732	144	4	to	to	ADP
bibechana-57732	144	5	advancements	advancement	NOUN
bibechana-57732	144	6	in	in	ADP
bibechana-57732	144	7	electronics	electronic	NOUN
bibechana-57732	144	8	,	,	PUNCT
bibechana-57732	144	9	photonics	photonic	NOUN
bibechana-57732	144	10	,	,	PUNCT
bibechana-57732	144	11	and	and	CCONJ
bibechana-57732	144	12	telecommunications	telecommunication	NOUN
bibechana-57732	144	13	.	.	PUNCT
bibechana-57732	145	1	they	they	PRON
bibechana-57732	145	2	are	be	AUX
bibechana-57732	145	3	also	also	ADV
bibechana-57732	145	4	invaluable	invaluable	ADJ
bibechana-57732	145	5	for	for	ADP
bibechana-57732	145	6	materials	material	NOUN
bibechana-57732	145	7	characterization	characterization	NOUN
bibechana-57732	145	8	,	,	PUNCT
bibechana-57732	145	9	aiding	aid	VERB
bibechana-57732	145	10	experimentalists	experimentalist	NOUN
bibechana-57732	145	11	in	in	ADP
bibechana-57732	145	12	structural	structural	ADJ
bibechana-57732	145	13	analysis	analysis	NOUN
bibechana-57732	145	14	techniques	technique	NOUN
bibechana-57732	145	15	.	.	PUNCT
bibechana-57732	146	1	experimentalists	experimentalist	NOUN
bibechana-57732	146	2	can	can	AUX
bibechana-57732	146	3	use	use	VERB
bibechana-57732	146	4	these	these	DET
bibechana-57732	146	5	predictions	prediction	NOUN
bibechana-57732	146	6	as	as	ADP
bibechana-57732	146	7	reference	reference	NOUN
bibechana-57732	146	8	values	value	NOUN
bibechana-57732	146	9	during	during	ADP
bibechana-57732	146	10	structural	structural	ADJ
bibechana-57732	146	11	analysis	analysis	NOUN
bibechana-57732	146	12	techniques	technique	NOUN
bibechana-57732	146	13	such	such	ADJ
bibechana-57732	146	14	as	as	ADP
bibechana-57732	146	15	x	x	NOUN
bibechana-57732	146	16	-	-	NOUN
bibechana-57732	146	17	ray	ray	NOUN
bibechana-57732	146	18	diffraction	diffraction	NOUN
bibechana-57732	146	19	and	and	CCONJ
bibechana-57732	146	20	electron	electron	NOUN
bibechana-57732	146	21	microscopy	microscopy	NOUN
bibechana-57732	146	22	to	to	PART
bibechana-57732	146	23	validate	validate	VERB
bibechana-57732	146	24	the	the	DET
bibechana-57732	146	25	quality	quality	NOUN
bibechana-57732	146	26	of	of	ADP
bibechana-57732	146	27	synthesized	synthesize	VERB
bibechana-57732	146	28	samples	sample	NOUN
bibechana-57732	146	29	.	.	PUNCT
bibechana-57732	147	1	overall	overall	ADJ
bibechana-57732	147	2	,	,	PUNCT
bibechana-57732	147	3	machine	machine	NOUN
bibechana-57732	147	4	learning	learning	NOUN
bibechana-57732	147	5	’s	’s	PART
bibechana-57732	147	6	role	role	NOUN
bibechana-57732	147	7	in	in	ADP
bibechana-57732	147	8	tmd	tmd	NOUN
bibechana-57732	147	9	lattice	lattice	PROPN
bibechana-57732	147	10	parameter	parameter	NOUN
bibechana-57732	147	11	prediction	prediction	NOUN
bibechana-57732	147	12	accelerates	accelerate	VERB
bibechana-57732	147	13	innovation	innovation	NOUN
bibechana-57732	147	14	,	,	PUNCT
bibechana-57732	147	15	improves	improve	VERB
bibechana-57732	147	16	materials	material	NOUN
bibechana-57732	147	17	properties	property	NOUN
bibechana-57732	147	18	,	,	PUNCT
bibechana-57732	147	19	and	and	CCONJ
bibechana-57732	147	20	reduces	reduce	VERB
bibechana-57732	147	21	costs	cost	NOUN
bibechana-57732	147	22	across	across	ADP
bibechana-57732	147	23	a	a	DET
bibechana-57732	147	24	broad	broad	ADJ
bibechana-57732	147	25	spectrum	spectrum	NOUN
bibechana-57732	147	26	of	of	ADP
bibechana-57732	147	27	applications	application	NOUN
bibechana-57732	147	28	.	.	PUNCT
bibechana-57732	148	1	ethical	ethical	ADJ
bibechana-57732	148	2	considerations	consideration	NOUN
bibechana-57732	148	3	in	in	ADP
bibechana-57732	148	4	our	our	PRON
bibechana-57732	148	5	study	study	NOUN
bibechana-57732	148	6	,	,	PUNCT
bibechana-57732	148	7	we	we	PRON
bibechana-57732	148	8	adhere	adhere	VERB
bibechana-57732	148	9	to	to	ADP
bibechana-57732	148	10	ethical	ethical	ADJ
bibechana-57732	148	11	guidelines	guideline	NOUN
bibechana-57732	148	12	,	,	PUNCT
bibechana-57732	148	13	even	even	ADV
bibechana-57732	148	14	when	when	SCONJ
bibechana-57732	148	15	utilizing	utilize	VERB
bibechana-57732	148	16	data	datum	NOUN
bibechana-57732	148	17	sourced	source	VERB
bibechana-57732	148	18	from	from	ADP
bibechana-57732	148	19	the	the	DET
bibechana-57732	148	20	materials	material	NOUN
bibechana-57732	148	21	project	project	NOUN
bibechana-57732	148	22	.	.	PUNCT
bibechana-57732	149	1	although	although	SCONJ
bibechana-57732	149	2	the	the	DET
bibechana-57732	149	3	data	data	NOUN
bibechana-57732	149	4	is	be	AUX
bibechana-57732	149	5	not	not	PART
bibechana-57732	149	6	confidential	confidential	ADJ
bibechana-57732	149	7	,	,	PUNCT
bibechana-57732	149	8	we	we	PRON
bibechana-57732	149	9	uphold	uphold	VERB
bibechana-57732	149	10	ethical	ethical	ADJ
bibechana-57732	149	11	standards	standard	NOUN
bibechana-57732	149	12	because	because	SCONJ
bibechana-57732	149	13	our	our	PRON
bibechana-57732	149	14	research	research	NOUN
bibechana-57732	149	15	can	can	AUX
bibechana-57732	149	16	have	have	VERB
bibechana-57732	149	17	societal	societal	ADJ
bibechana-57732	149	18	implications	implication	NOUN
bibechana-57732	149	19	.	.	PUNCT
bibechana-57732	150	1	we	we	PRON
bibechana-57732	150	2	adhere	adhere	VERB
bibechana-57732	150	3	to	to	ADP
bibechana-57732	150	4	the	the	DET
bibechana-57732	150	5	materials	material	NOUN
bibechana-57732	150	6	project	project	NOUN
bibechana-57732	150	7	’s	’s	PART
bibechana-57732	150	8	data	data	PROPN
bibechana-57732	150	9	privacy	privacy	NOUN
bibechana-57732	150	10	policies	policy	NOUN
bibechana-57732	150	11	,	,	PUNCT
bibechana-57732	150	12	and	and	CCONJ
bibechana-57732	150	13	we	we	PRON
bibechana-57732	150	14	take	take	VERB
bibechana-57732	150	15	deliberate	deliberate	ADJ
bibechana-57732	150	16	steps	step	NOUN
bibechana-57732	150	17	to	to	PART
bibechana-57732	150	18	prevent	prevent	VERB
bibechana-57732	150	19	bias	bias	NOUN
bibechana-57732	150	20	through	through	ADP
bibechana-57732	150	21	the	the	DET
bibechana-57732	150	22	careful	careful	ADJ
bibechana-57732	150	23	selection	selection	NOUN
bibechana-57732	150	24	,	,	PUNCT
bibechana-57732	150	25	analysis	analysis	NOUN
bibechana-57732	150	26	,	,	PUNCT
bibechana-57732	150	27	and	and	CCONJ
bibechana-57732	150	28	transparency	transparency	NOUN
bibechana-57732	150	29	of	of	ADP
bibechana-57732	150	30	data	data	PROPN
bibechana-57732	150	31	.	.	PUNCT
bibechana-57732	151	1	for	for	ADP
bibechana-57732	151	2	additional	additional	ADJ
bibechana-57732	151	3	information	information	NOUN
bibechana-57732	151	4	about	about	ADP
bibechana-57732	151	5	the	the	DET
bibechana-57732	151	6	materials	material	NOUN
bibechana-57732	151	7	project	project	NOUN
bibechana-57732	151	8	,	,	PUNCT
bibechana-57732	151	9	please	please	INTJ
bibechana-57732	151	10	visit	visit	VERB
bibechana-57732	151	11	the	the	DET
bibechana-57732	151	12	website	website	NOUN
bibechana-57732	151	13	[	[	X
bibechana-57732	151	14	12	12	NUM
bibechana-57732	151	15	]	]	PUNCT
bibechana-57732	151	16	.	.	PUNCT
bibechana-57732	152	1	acknowledgments	acknowledgment	NOUN
bibechana-57732	152	2	this	this	DET
bibechana-57732	152	3	work	work	NOUN
bibechana-57732	152	4	was	be	AUX
bibechana-57732	152	5	supported	support	VERB
bibechana-57732	152	6	by	by	ADP
bibechana-57732	152	7	a	a	DET
bibechana-57732	152	8	grant	grant	NOUN
bibechana-57732	152	9	from	from	ADP
bibechana-57732	152	10	unesco	unesco	PROPN
bibechana-57732	152	11	-	-	PUNCT
bibechana-57732	152	12	twas	twas	PROPN
bibechana-57732	152	13	and	and	CCONJ
bibechana-57732	152	14	the	the	DET
bibechana-57732	152	15	swedish	swedish	PROPN
bibechana-57732	152	16	international	international	PROPN
bibechana-57732	152	17	development	development	PROPN
bibechana-57732	152	18	cooperation	cooperation	NOUN
bibechana-57732	152	19	agency	agency	PROPN
bibechana-57732	152	20	(	(	PUNCT
bibechana-57732	152	21	sida	sida	PROPN
bibechana-57732	152	22	)	)	PUNCT
bibechana-57732	152	23	with	with	ADP
bibechana-57732	152	24	twas	twas	PROPN
bibechana-57732	152	25	research	research	NOUN
bibechana-57732	152	26	grant	grant	PROPN
bibechana-57732	152	27	award	award	PROPN
bibechana-57732	152	28	no	no	INTJ
bibechana-57732	152	29	.	.	PROPN
bibechana-57732	152	30	21	21	NUM
bibechana-57732	152	31	-	-	SYM
bibechana-57732	152	32	377	377	NUM
bibechana-57732	152	33	rg	rg	NOUN
bibechana-57732	152	34	/	/	SYM
bibechana-57732	152	35	phys	phy	NOUN
bibechana-57732	152	36	/	/	SYM
bibechana-57732	152	37	as	as	ADP
bibechana-57732	152	38	-	-	PUNCT
bibechana-57732	152	39	g.	g.	NOUN
bibechana-57732	152	40	the	the	DET
bibechana-57732	152	41	views	view	NOUN
bibechana-57732	152	42	expressed	express	VERB
bibechana-57732	152	43	herein	herein	NOUN
bibechana-57732	152	44	do	do	AUX
bibechana-57732	152	45	not	not	PART
bibechana-57732	152	46	necessarily	necessarily	ADV
bibechana-57732	152	47	represent	represent	VERB
bibechana-57732	152	48	those	those	PRON
bibechana-57732	152	49	of	of	ADP
bibechana-57732	152	50	unesco	unesco	PROPN
bibechana-57732	152	51	-	-	PUNCT
bibechana-57732	152	52	twas	twas	PROPN
bibechana-57732	152	53	,	,	PUNCT
bibechana-57732	152	54	sida	sida	PROPN
bibechana-57732	152	55	or	or	CCONJ
bibechana-57732	152	56	its	its	PRON
bibechana-57732	152	57	board	board	NOUN
bibechana-57732	152	58	of	of	ADP
bibechana-57732	152	59	governors	governor	NOUN
bibechana-57732	152	60	.	.	PUNCT
bibechana-57732	153	1	part	part	NOUN
bibechana-57732	153	2	of	of	ADP
bibechana-57732	153	3	this	this	DET
bibechana-57732	153	4	work	work	NOUN
bibechana-57732	153	5	was	be	AUX
bibechana-57732	153	6	also	also	ADV
bibechana-57732	153	7	supported	support	VERB
bibechana-57732	153	8	by	by	ADP
bibechana-57732	153	9	the	the	DET
bibechana-57732	153	10	university	university	NOUN
bibechana-57732	153	11	grants	grant	NOUN
bibechana-57732	153	12	commission	commission	PROPN
bibechana-57732	153	13	,	,	PUNCT
bibechana-57732	153	14	nepal	nepal	NOUN
bibechana-57732	153	15	under	under	ADP
bibechana-57732	153	16	ugc	ugc	PROPN
bibechana-57732	153	17	grant	grant	NOUN
bibechana-57732	153	18	no	no	NOUN
bibechana-57732	153	19	.	.	PUNCT
bibechana-57732	154	1	crg-78/79	crg-78/79	PROPN
bibechana-57732	154	2	s&t-03	s&t-03	PROPN
bibechana-57732	154	3	.	.	PUNCT
bibechana-57732	155	1	we	we	PRON
bibechana-57732	155	2	acknowledge	acknowledge	VERB
bibechana-57732	155	3	nvidia	nvidia	PROPN
bibechana-57732	155	4	for	for	ADP
bibechana-57732	155	5	providing	provide	VERB
bibechana-57732	155	6	the	the	DET
bibechana-57732	155	7	license	license	NOUN
bibechana-57732	155	8	package	package	NOUN
bibechana-57732	155	9	of	of	ADP
bibechana-57732	155	10	deep	deep	ADJ
bibechana-57732	155	11	learning	learning	NOUN
bibechana-57732	155	12	,	,	PUNCT
bibechana-57732	155	13	a	a	DET
bibechana-57732	155	14	part	part	NOUN
bibechana-57732	155	15	of	of	ADP
bibechana-57732	155	16	machine	machine	NOUN
bibechana-57732	155	17	learning	learning	NOUN
bibechana-57732	155	18	.	.	PUNCT
bibechana-57732	156	1	references	reference	NOUN
bibechana-57732	156	2	[	[	X
bibechana-57732	156	3	1	1	NUM
bibechana-57732	156	4	]	]	X
bibechana-57732	156	5	wenqing	wenqe	VERB
bibechana-57732	156	6	sha	sha	PROPN
bibechana-57732	156	7	,	,	PUNCT
bibechana-57732	156	8	yike	yike	PROPN
bibechana-57732	156	9	guo	guo	PROPN
bibechana-57732	156	10	,	,	PUNCT
bibechana-57732	156	11	qing	qing	PROPN
bibechana-57732	156	12	yuan	yuan	PROPN
bibechana-57732	156	13	,	,	PUNCT
bibechana-57732	156	14	shuai	shuai	PROPN
bibechana-57732	156	15	tang	tang	PROPN
bibechana-57732	156	16	,	,	PUNCT
bibechana-57732	156	17	xiaoyan	xiaoyan	PROPN
bibechana-57732	156	18	zhang	zhang	PROPN
bibechana-57732	156	19	,	,	PUNCT
bibechana-57732	156	20	shan	shan	PROPN
bibechana-57732	156	21	lu	lu	PROPN
bibechana-57732	156	22	,	,	PUNCT
bibechana-57732	156	23	xiaojun	xiaojun	PROPN
bibechana-57732	156	24	guo	guo	PROPN
bibechana-57732	156	25	,	,	PUNCT
bibechana-57732	156	26	yang	yang	PROPN
bibechana-57732	156	27	-	-	PUNCT
bibechana-57732	156	28	chun	chun	PROPN
bibechana-57732	156	29	cao	cao	PROPN
bibechana-57732	156	30	,	,	PUNCT
bibechana-57732	156	31	and	and	CCONJ
bibechana-57732	156	32	shijin	shijin	PROPN
bibechana-57732	156	33	cheng	cheng	PROPN
bibechana-57732	156	34	.	.	PUNCT
bibechana-57732	157	1	artificial	artificial	ADJ
bibechana-57732	157	2	intelligence	intelligence	NOUN
bibechana-57732	157	3	to	to	PART
bibechana-57732	157	4	power	power	VERB
bibechana-57732	157	5	the	the	DET
bibechana-57732	157	6	future	future	NOUN
bibechana-57732	157	7	of	of	ADP
bibechana-57732	157	8	materials	material	NOUN
bibechana-57732	157	9	science	science	NOUN
bibechana-57732	157	10	and	and	CCONJ
bibechana-57732	157	11	engineering	engineering	NOUN
bibechana-57732	157	12	.	.	PUNCT
bibechana-57732	158	1	advanced	advanced	ADJ
bibechana-57732	158	2	intelligent	intelligent	ADJ
bibechana-57732	158	3	systems	system	NOUN
bibechana-57732	158	4	,	,	PUNCT
bibechana-57732	158	5	2(4):1900143	2(4):1900143	NUM
bibechana-57732	158	6	,	,	PUNCT
bibechana-57732	158	7	2020	2020	NUM
bibechana-57732	158	8	.	.	PUNCT
bibechana-57732	159	1	[	[	X
bibechana-57732	159	2	2	2	NUM
bibechana-57732	159	3	]	]	X
bibechana-57732	159	4	haoyuan	haoyuan	PROPN
bibechana-57732	159	5	liang	liang	PROPN
bibechana-57732	159	6	,	,	PUNCT
bibechana-57732	159	7	valentin	valentin	PROPN
bibechana-57732	159	8	stanev	stanev	PROPN
bibechana-57732	159	9	,	,	PUNCT
bibechana-57732	159	10	aaron	aaron	PROPN
bibechana-57732	159	11	g	g	PROPN
bibechana-57732	159	12	kusne	kusne	NOUN
bibechana-57732	159	13	,	,	PUNCT
bibechana-57732	159	14	and	and	CCONJ
bibechana-57732	159	15	ichiro	ichiro	PROPN
bibechana-57732	159	16	takeuchi	takeuchi	PROPN
bibechana-57732	159	17	.	.	PUNCT
bibechana-57732	160	1	cryspnet	cryspnet	PROPN
bibechana-57732	160	2	:	:	PUNCT
bibechana-57732	160	3	crystal	crystal	NOUN
bibechana-57732	160	4	structure	structure	NOUN
bibechana-57732	160	5	predictions	prediction	NOUN
bibechana-57732	160	6	via	via	ADP
bibechana-57732	160	7	neural	neural	ADJ
bibechana-57732	160	8	networks	network	NOUN
bibechana-57732	160	9	.	.	PUNCT
bibechana-57732	161	1	physical	physical	ADJ
bibechana-57732	161	2	review	review	NOUN
bibechana-57732	161	3	materials	material	NOUN
bibechana-57732	161	4	,	,	PUNCT
bibechana-57732	161	5	4(12):123802	4(12):123802	NUM
bibechana-57732	161	6	,	,	PUNCT
bibechana-57732	161	7	2020	2020	NUM
bibechana-57732	161	8	.	.	PUNCT
bibechana-57732	162	1	[	[	X
bibechana-57732	162	2	3	3	NUM
bibechana-57732	162	3	]	]	X
bibechana-57732	162	4	issam	issam	PROPN
bibechana-57732	162	5	el	el	PROPN
bibechana-57732	162	6	naqa	naqa	PROPN
bibechana-57732	162	7	and	and	CCONJ
bibechana-57732	162	8	martin	martin	PROPN
bibechana-57732	162	9	j	j	PROPN
bibechana-57732	162	10	murphy	murphy	PROPN
bibechana-57732	162	11	.	.	PUNCT
bibechana-57732	163	1	what	what	PRON
bibechana-57732	163	2	is	be	AUX
bibechana-57732	163	3	machine	machine	NOUN
bibechana-57732	163	4	learning	learning	NOUN
bibechana-57732	163	5	?	?	PUNCT
bibechana-57732	164	1	springer	springer	NOUN
bibechana-57732	164	2	,	,	PUNCT
bibechana-57732	164	3	2015	2015	NUM
bibechana-57732	164	4	.	.	PUNCT
bibechana-57732	165	1	[	[	X
bibechana-57732	165	2	4	4	NUM
bibechana-57732	165	3	]	]	X
bibechana-57732	165	4	wei	wei	PROPN
bibechana-57732	165	5	-	-	PROPN
bibechana-57732	165	6	yin	yin	PROPN
bibechana-57732	165	7	loh	loh	PROPN
bibechana-57732	165	8	.	.	PUNCT
bibechana-57732	166	1	classification	classification	NOUN
bibechana-57732	166	2	and	and	CCONJ
bibechana-57732	166	3	regression	regression	NOUN
bibechana-57732	166	4	trees	tree	NOUN
bibechana-57732	166	5	.	.	PUNCT
bibechana-57732	167	1	wiley	wiley	PROPN
bibechana-57732	167	2	interdisciplinary	interdisciplinary	ADJ
bibechana-57732	167	3	reviews	review	NOUN
bibechana-57732	167	4	:	:	PUNCT
bibechana-57732	167	5	data	datum	NOUN
bibechana-57732	167	6	mining	mining	NOUN
bibechana-57732	167	7	and	and	CCONJ
bibechana-57732	167	8	knowledge	knowledge	NOUN
bibechana-57732	167	9	discovery	discovery	NOUN
bibechana-57732	167	10	,	,	PUNCT
bibechana-57732	167	11	1(1):14–23	1(1):14–23	NUM
bibechana-57732	167	12	,	,	PUNCT
bibechana-57732	167	13	2011	2011	NUM
bibechana-57732	167	14	.	.	PUNCT
bibechana-57732	168	1	[	[	X
bibechana-57732	168	2	5	5	NUM
bibechana-57732	168	3	]	]	PUNCT
bibechana-57732	168	4	dauda	dauda	NOUN
bibechana-57732	168	5	maulud	maulud	NOUN
bibechana-57732	168	6	and	and	CCONJ
bibechana-57732	168	7	abdulmalik	abdulmalik	ADJ
bibechana-57732	168	8	abdulazeez	abdulazeez	PRON
bibechana-57732	168	9	.	.	PUNCT
bibechana-57732	169	1	a	a	DET
bibechana-57732	169	2	review	review	NOUN
bibechana-57732	169	3	on	on	ADP
bibechana-57732	169	4	linear	linear	ADJ
bibechana-57732	169	5	regression	regression	NOUN
bibechana-57732	169	6	comprehensive	comprehensive	ADJ
bibechana-57732	169	7	in	in	ADP
bibechana-57732	169	8	machine	machine	NOUN
bibechana-57732	169	9	learning	learning	NOUN
bibechana-57732	169	10	.	.	PUNCT
bibechana-57732	170	1	journal	journal	PROPN
bibechana-57732	170	2	of	of	ADP
bibechana-57732	170	3	applied	apply	VERB
bibechana-57732	170	4	science	science	NOUN
bibechana-57732	170	5	and	and	CCONJ
bibechana-57732	170	6	technology	technology	NOUN
bibechana-57732	170	7	trends	trend	NOUN
bibechana-57732	170	8	,	,	PUNCT
bibechana-57732	170	9	1(4):140–147	1(4):140–147	NOUN
bibechana-57732	170	10	,	,	PUNCT
bibechana-57732	170	11	2020	2020	NUM
bibechana-57732	170	12	.	.	PUNCT
bibechana-57732	171	1	[	[	X
bibechana-57732	171	2	6	6	NUM
bibechana-57732	171	3	]	]	X
bibechana-57732	171	4	j	j	PROPN
bibechana-57732	171	5	ross	ross	PROPN
bibechana-57732	171	6	quinlan	quinlan	PROPN
bibechana-57732	171	7	.	.	PUNCT
bibechana-57732	172	1	c4	c4	PROPN
bibechana-57732	172	2	.	.	PUNCT
bibechana-57732	173	1	5	5	NUM
bibechana-57732	173	2	:	:	PUNCT
bibechana-57732	173	3	programs	program	NOUN
bibechana-57732	173	4	for	for	ADP
bibechana-57732	173	5	machine	machine	NOUN
bibechana-57732	173	6	learning	learning	NOUN
bibechana-57732	173	7	.	.	PUNCT
bibechana-57732	174	1	elsevier	elsevier	NOUN
bibechana-57732	174	2	,	,	PUNCT
bibechana-57732	174	3	2014	2014	NUM
bibechana-57732	174	4	.	.	PUNCT
bibechana-57732	175	1	[	[	X
bibechana-57732	175	2	7	7	X
bibechana-57732	175	3	]	]	X
bibechana-57732	175	4	gabriel	gabriel	PROPN
bibechana-57732	175	5	rodrigues	rodrigues	PROPN
bibechana-57732	175	6	schleder	schleder	PROPN
bibechana-57732	175	7	,	,	PUNCT
bibechana-57732	175	8	antonio	antonio	PROPN
bibechana-57732	175	9	carlos	carlos	PROPN
bibechana-57732	175	10	padilha	padilha	PROPN
bibechana-57732	175	11	,	,	PUNCT
bibechana-57732	175	12	camila	camila	PROPN
bibechana-57732	175	13	maciel	maciel	PROPN
bibechana-57732	175	14	acosta	acosta	PROPN
bibechana-57732	175	15	,	,	PUNCT
bibechana-57732	175	16	maurício	maurício	NOUN
bibechana-57732	175	17	costa	costa	PROPN
bibechana-57732	175	18	,	,	PUNCT
bibechana-57732	175	19	and	and	CCONJ
bibechana-57732	175	20	adalberto	adalberto	ADJ
bibechana-57732	175	21	fazzio	fazzio	PROPN
bibechana-57732	175	22	.	.	PUNCT
bibechana-57732	176	1	from	from	ADP
bibechana-57732	176	2	dft	dft	PROPN
bibechana-57732	176	3	to	to	ADP
bibechana-57732	176	4	machine	machine	NOUN
bibechana-57732	176	5	learning	learning	NOUN
bibechana-57732	176	6	:	:	PUNCT
bibechana-57732	176	7	recent	recent	ADJ
bibechana-57732	176	8	approaches	approach	NOUN
bibechana-57732	176	9	to	to	ADP
bibechana-57732	176	10	materials	material	NOUN
bibechana-57732	176	11	science	science	NOUN
bibechana-57732	176	12	–	–	PUNCT
bibechana-57732	176	13	a	a	DET
bibechana-57732	176	14	review	review	NOUN
bibechana-57732	176	15	.	.	PUNCT
bibechana-57732	177	1	journal	journal	PROPN
bibechana-57732	177	2	of	of	ADP
bibechana-57732	177	3	physics	physics	PROPN
bibechana-57732	177	4	:	:	PUNCT
bibechana-57732	177	5	materials	material	NOUN
bibechana-57732	177	6	,	,	PUNCT
bibechana-57732	177	7	2(3):032001	2(3):032001	NUM
bibechana-57732	177	8	,	,	PUNCT
bibechana-57732	177	9	2019	2019	NUM
bibechana-57732	177	10	.	.	PUNCT
bibechana-57732	178	1	[	[	X
bibechana-57732	178	2	8	8	X
bibechana-57732	178	3	]	]	PUNCT
bibechana-57732	178	4	sherif	sherif	VERB
bibechana-57732	178	5	a	a	DET
bibechana-57732	178	6	tawfik	tawfik	NOUN
bibechana-57732	178	7	,	,	PUNCT
bibechana-57732	178	8	olexandr	olexandr	NOUN
bibechana-57732	178	9	isayev	isayev	NOUN
bibechana-57732	178	10	,	,	PUNCT
bibechana-57732	178	11	catherine	catherine	PROPN
bibechana-57732	178	12	stampfl	stampfl	PROPN
bibechana-57732	178	13	,	,	PUNCT
bibechana-57732	178	14	joe	joe	PROPN
bibechana-57732	178	15	shapter	shapter	PROPN
bibechana-57732	178	16	,	,	PUNCT
bibechana-57732	178	17	david	david	PROPN
bibechana-57732	178	18	a	a	DET
bibechana-57732	178	19	winkler	winkler	NOUN
bibechana-57732	178	20	,	,	PUNCT
bibechana-57732	178	21	and	and	CCONJ
bibechana-57732	178	22	michael	michael	PROPN
bibechana-57732	178	23	j	j	PROPN
bibechana-57732	178	24	ford	ford	PROPN
bibechana-57732	178	25	.	.	PUNCT
bibechana-57732	179	1	efficient	efficient	ADJ
bibechana-57732	179	2	prediction	prediction	NOUN
bibechana-57732	179	3	of	of	ADP
bibechana-57732	179	4	structural	structural	ADJ
bibechana-57732	179	5	and	and	CCONJ
bibechana-57732	179	6	electronic	electronic	ADJ
bibechana-57732	179	7	properties	property	NOUN
bibechana-57732	179	8	of	of	ADP
bibechana-57732	179	9	hybrid	hybrid	ADJ
bibechana-57732	179	10	2d	2d	NOUN
bibechana-57732	179	11	materials	material	NOUN
bibechana-57732	179	12	using	use	VERB
bibechana-57732	179	13	complementary	complementary	ADJ
bibechana-57732	179	14	dft	dft	PROPN
bibechana-57732	179	15	and	and	CCONJ
bibechana-57732	179	16	machine	machine	NOUN
bibechana-57732	179	17	learning	learning	NOUN
bibechana-57732	179	18	approaches	approach	NOUN
bibechana-57732	179	19	.	.	PUNCT
bibechana-57732	180	1	advanced	advanced	ADJ
bibechana-57732	180	2	theory	theory	NOUN
bibechana-57732	180	3	and	and	CCONJ
bibechana-57732	180	4	simulations	simulation	NOUN
bibechana-57732	180	5	,	,	PUNCT
bibechana-57732	180	6	2(1):1800128	2(1):1800128	NUM
bibechana-57732	180	7	,	,	PUNCT
bibechana-57732	180	8	2019	2019	NUM
bibechana-57732	180	9	.	.	PUNCT
bibechana-57732	181	1	[	[	X
bibechana-57732	181	2	9	9	NUM
bibechana-57732	181	3	]	]	X
bibechana-57732	181	4	q	q	PROPN
bibechana-57732	181	5	h	h	NOUN
bibechana-57732	181	6	wang	wang	PROPN
bibechana-57732	181	7	,	,	PUNCT
bibechana-57732	181	8	k	k	PROPN
bibechana-57732	181	9	kalantar	kalantar	PROPN
bibechana-57732	181	10	-	-	PUNCT
bibechana-57732	181	11	zadeh	zadeh	PROPN
bibechana-57732	181	12	,	,	PUNCT
bibechana-57732	181	13	a	a	DET
bibechana-57732	181	14	kis	kis	PROPN
bibechana-57732	181	15	,	,	PUNCT
bibechana-57732	181	16	j	j	PROPN
bibechana-57732	181	17	n	n	X
bibechana-57732	181	18	coleman	coleman	PROPN
bibechana-57732	181	19	,	,	PUNCT
bibechana-57732	181	20	and	and	CCONJ
bibechana-57732	181	21	m	m	PROPN
bibechana-57732	181	22	s	s	NOUN
bibechana-57732	181	23	strano	strano	NOUN
bibechana-57732	181	24	.	.	PUNCT
bibechana-57732	182	1	electronics	electronic	NOUN
bibechana-57732	182	2	and	and	CCONJ
bibechana-57732	182	3	optoelectronics	optoelectronic	NOUN
bibechana-57732	182	4	of	of	ADP
bibechana-57732	182	5	two	two	NUM
bibechana-57732	182	6	-	-	PUNCT
bibechana-57732	182	7	dimensional	dimensional	ADJ
bibechana-57732	182	8	transition	transition	NOUN
bibechana-57732	182	9	metal	metal	NOUN
bibechana-57732	182	10	dichalcogenides	dichalcogenide	NOUN
bibechana-57732	182	11	.	.	PUNCT
bibechana-57732	183	1	nature	nature	PROPN
bibechana-57732	183	2	nanotechnology	nanotechnology	PROPN
bibechana-57732	183	3	,	,	PUNCT
bibechana-57732	183	4	7(11):699–712	7(11):699–712	NOUN
bibechana-57732	183	5	,	,	PUNCT
bibechana-57732	183	6	2012	2012	NUM
bibechana-57732	183	7	.	.	PUNCT
bibechana-57732	184	1	[	[	X
bibechana-57732	184	2	10	10	NUM
bibechana-57732	184	3	]	]	SYM
bibechana-57732	184	4	s	s	VERB
bibechana-57732	184	5	manzeli	manzeli	NOUN
bibechana-57732	184	6	,	,	PUNCT
bibechana-57732	184	7	d	d	NOUN
bibechana-57732	184	8	ovchinnikov	ovchinnikov	NOUN
bibechana-57732	184	9	,	,	PUNCT
bibechana-57732	184	10	d	d	NOUN
bibechana-57732	184	11	pasquier	pasquier	NOUN
bibechana-57732	184	12	,	,	PUNCT
bibechana-57732	184	13	o	o	PROPN
bibechana-57732	184	14	v	v	NUM
bibechana-57732	184	15	yazyev	yazyev	NOUN
bibechana-57732	184	16	,	,	PUNCT
bibechana-57732	184	17	and	and	CCONJ
bibechana-57732	184	18	a	a	DET
bibechana-57732	184	19	kis	kis	PROPN
bibechana-57732	184	20	.	.	PUNCT
bibechana-57732	185	1	2d	2d	PROPN
bibechana-57732	185	2	transition	transition	NOUN
bibechana-57732	185	3	metal	metal	NOUN
bibechana-57732	185	4	dichalcogenides	dichalcogenide	NOUN
bibechana-57732	185	5	.	.	PUNCT
bibechana-57732	186	1	nature	nature	NOUN
bibechana-57732	186	2	reviews	review	VERB
bibechana-57732	186	3	materials	material	NOUN
bibechana-57732	186	4	,	,	PUNCT
bibechana-57732	186	5	2(8):1–15	2(8):1–15	NUM
bibechana-57732	186	6	,	,	PUNCT
bibechana-57732	186	7	2017	2017	NUM
bibechana-57732	186	8	.	.	PUNCT
bibechana-57732	187	1	[	[	X
bibechana-57732	187	2	11	11	NUM
bibechana-57732	187	3	]	]	X
bibechana-57732	187	4	manish	manish	PROPN
bibechana-57732	187	5	chhowalla	chhowalla	PROPN
bibechana-57732	187	6	,	,	PUNCT
bibechana-57732	187	7	hyeon	hyeon	PROPN
bibechana-57732	187	8	suk	suk	PROPN
bibechana-57732	187	9	shin	shin	PROPN
bibechana-57732	187	10	,	,	PUNCT
bibechana-57732	187	11	goki	goki	PROPN
bibechana-57732	187	12	eda	eda	PROPN
bibechana-57732	187	13	,	,	PUNCT
bibechana-57732	187	14	li	li	PROPN
bibechana-57732	187	15	-	-	PUNCT
bibechana-57732	187	16	jie	jie	PROPN
bibechana-57732	187	17	li	li	PROPN
bibechana-57732	187	18	,	,	PUNCT
bibechana-57732	187	19	kian	kian	PROPN
bibechana-57732	187	20	ping	ping	PROPN
bibechana-57732	187	21	loh	loh	PROPN
bibechana-57732	187	22	,	,	PUNCT
bibechana-57732	187	23	and	and	CCONJ
bibechana-57732	187	24	hua	hua	PROPN
bibechana-57732	187	25	zhang	zhang	PROPN
bibechana-57732	187	26	.	.	PUNCT
bibechana-57732	188	1	the	the	DET
bibechana-57732	188	2	chemistry	chemistry	NOUN
bibechana-57732	188	3	of	of	ADP
bibechana-57732	188	4	two	two	NUM
bibechana-57732	188	5	-	-	PUNCT
bibechana-57732	188	6	dimensional	dimensional	ADJ
bibechana-57732	188	7	layered	layered	ADJ
bibechana-57732	188	8	transition	transition	NOUN
bibechana-57732	188	9	metal	metal	NOUN
bibechana-57732	188	10	dichalcogenide	dichalcogenide	PROPN
bibechana-57732	188	11	nanosheets	nanosheet	NOUN
bibechana-57732	188	12	.	.	PUNCT
bibechana-57732	189	1	nature	nature	NOUN
bibechana-57732	189	2	chemistry	chemistry	NOUN
bibechana-57732	189	3	,	,	PUNCT
bibechana-57732	189	4	5(4):263–275	5(4):263–275	NUM
bibechana-57732	189	5	,	,	PUNCT
bibechana-57732	189	6	2013	2013	NUM
bibechana-57732	189	7	.	.	PUNCT
bibechana-57732	190	1	[	[	X
bibechana-57732	190	2	12	12	NUM
bibechana-57732	190	3	]	]	X
bibechana-57732	190	4	https://next-gen.materialsproject.org/	https://next-gen.materialsproject.org/	PROPN
bibechana-57732	190	5	https://next-gen.materialsproject.org/	https://next-gen.materialsproject.org/	PROPN
bibechana-57732	190	6	bhupendra	bhupendra	PROPN
bibechana-57732	190	7	sharma	sharma	PROPN
bibechana-57732	190	8	et	et	PROPN
bibechana-57732	190	9	al./	al./	ADV
bibechana-57732	190	10	bibechana	bibechana	PROPN
bibechana-57732	190	11	20	20	NUM
bibechana-57732	190	12	(	(	PUNCT
bibechana-57732	190	13	2023	2023	NUM
bibechana-57732	190	14	)	)	PUNCT
bibechana-57732	190	15	267	267	NUM
bibechana-57732	190	16	-	-	SYM
bibechana-57732	190	17	274	274	NUM
bibechana-57732	190	18	274	274	NUM
bibechana-57732	190	19	[	[	SYM
bibechana-57732	190	20	13	13	NUM
bibechana-57732	190	21	]	]	SYM
bibechana-57732	190	22	https://oqmd.org/:the	https://oqmd.org/:the	PRON
bibechana-57732	190	23	open	open	ADJ
bibechana-57732	190	24	quantum	quantum	NOUN
bibechana-57732	190	25	materials	material	NOUN
bibechana-57732	190	26	database	database	NOUN
bibechana-57732	190	27	.	.	PUNCT
bibechana-57732	191	1	[	[	X
bibechana-57732	191	2	14	14	NUM
bibechana-57732	191	3	]	]	X
bibechana-57732	191	4	j	j	PROPN
bibechana-57732	191	5	cai	cai	X
bibechana-57732	191	6	,	,	PUNCT
bibechana-57732	191	7	x	x	PROPN
bibechana-57732	191	8	chu	chu	PROPN
bibechana-57732	191	9	,	,	PUNCT
bibechana-57732	191	10	k	k	PROPN
bibechana-57732	191	11	xu	xu	PROPN
bibechana-57732	191	12	,	,	PUNCT
bibechana-57732	191	13	h	h	PROPN
bibechana-57732	191	14	li	li	PROPN
bibechana-57732	191	15	,	,	PUNCT
bibechana-57732	191	16	and	and	CCONJ
bibechana-57732	191	17	j	j	PROPN
bibechana-57732	191	18	wei	wei	PROPN
bibechana-57732	191	19	.	.	PROPN
bibechana-57732	191	20	machine	machine	NOUN
bibechana-57732	191	21	learning	learning	NOUN
bibechana-57732	191	22	-	-	PUNCT
bibechana-57732	191	23	driven	drive	VERB
bibechana-57732	191	24	new	new	ADJ
bibechana-57732	191	25	material	material	NOUN
bibechana-57732	191	26	discovery	discovery	NOUN
bibechana-57732	191	27	.	.	PUNCT
bibechana-57732	192	1	nanoscale	nanoscale	NOUN
bibechana-57732	192	2	advances	advance	NOUN
bibechana-57732	192	3	,	,	PUNCT
bibechana-57732	192	4	2(8):3115–3130	2(8):3115–3130	NUM
bibechana-57732	192	5	,	,	PUNCT
bibechana-57732	192	6	2020	2020	NUM
bibechana-57732	192	7	.	.	PUNCT
bibechana-57732	193	1	[	[	X
bibechana-57732	193	2	15	15	NUM
bibechana-57732	193	3	]	]	PUNCT
bibechana-57732	193	4	souvik	souvik	NOUN
bibechana-57732	193	5	ray	ray	NOUN
bibechana-57732	193	6	.	.	PUNCT
bibechana-57732	194	1	a	a	DET
bibechana-57732	194	2	quick	quick	ADJ
bibechana-57732	194	3	review	review	NOUN
bibechana-57732	194	4	of	of	ADP
bibechana-57732	194	5	machine	machine	NOUN
bibechana-57732	194	6	learning	learn	VERB
bibechana-57732	194	7	algorithms	algorithm	NOUN
bibechana-57732	194	8	.	.	PUNCT
bibechana-57732	195	1	in	in	ADP
bibechana-57732	195	2	2019	2019	NUM
bibechana-57732	195	3	international	international	ADJ
bibechana-57732	195	4	conference	conference	NOUN
bibechana-57732	195	5	on	on	ADP
bibechana-57732	195	6	machine	machine	NOUN
bibechana-57732	195	7	learning	learning	NOUN
bibechana-57732	195	8	,	,	PUNCT
bibechana-57732	195	9	big	big	ADJ
bibechana-57732	195	10	data	datum	NOUN
bibechana-57732	195	11	,	,	PUNCT
bibechana-57732	195	12	cloud	cloud	NOUN
bibechana-57732	195	13	and	and	CCONJ
bibechana-57732	195	14	parallel	parallel	ADJ
bibechana-57732	195	15	computing	computing	NOUN
bibechana-57732	195	16	(	(	PUNCT
bibechana-57732	195	17	comitcon	comitcon	NOUN
bibechana-57732	195	18	)	)	PUNCT
bibechana-57732	195	19	,	,	PUNCT
bibechana-57732	195	20	pages	page	NOUN
bibechana-57732	195	21	35–39	35–39	NUM
bibechana-57732	195	22	.	.	PUNCT
bibechana-57732	196	1	ieee	ieee	PROPN
bibechana-57732	196	2	,	,	PUNCT
bibechana-57732	196	3	2019	2019	NUM
bibechana-57732	196	4	.	.	PUNCT
bibechana-57732	197	1	[	[	X
bibechana-57732	197	2	16	16	NUM
bibechana-57732	197	3	]	]	PUNCT
bibechana-57732	197	4	a	a	DET
bibechana-57732	197	5	gentle	gentle	ADJ
bibechana-57732	197	6	introduction	introduction	NOUN
bibechana-57732	197	7	to	to	ADP
bibechana-57732	197	8	gradient	gradient	ADJ
bibechana-57732	197	9	boosting	boosting	NOUN
bibechana-57732	197	10	,	,	PUNCT
bibechana-57732	197	11	2016	2016	NUM
bibechana-57732	197	12	.	.	PUNCT
bibechana-57732	198	1	[	[	X
bibechana-57732	198	2	17	17	NUM
bibechana-57732	198	3	]	]	PUNCT
bibechana-57732	198	4	tim	tim	PROPN
bibechana-57732	198	5	mueller	mueller	PROPN
bibechana-57732	198	6	,	,	PUNCT
bibechana-57732	198	7	aaron	aaron	PROPN
bibechana-57732	198	8	g	g	PROPN
bibechana-57732	198	9	kusne	kusne	NOUN
bibechana-57732	198	10	,	,	PUNCT
bibechana-57732	198	11	and	and	CCONJ
bibechana-57732	198	12	rampi	rampi	ADJ
bibechana-57732	198	13	ramprasad	ramprasad	ADJ
bibechana-57732	198	14	.	.	PUNCT
bibechana-57732	198	15	machine	machine	NOUN
bibechana-57732	198	16	learning	learning	NOUN
bibechana-57732	198	17	in	in	ADP
bibechana-57732	198	18	materials	material	NOUN
bibechana-57732	198	19	science	science	NOUN
bibechana-57732	198	20	:	:	PUNCT
bibechana-57732	198	21	recent	recent	ADJ
bibechana-57732	198	22	progress	progress	NOUN
bibechana-57732	198	23	and	and	CCONJ
bibechana-57732	198	24	emerging	emerge	VERB
bibechana-57732	198	25	applications	application	NOUN
bibechana-57732	198	26	.	.	PUNCT
bibechana-57732	199	1	reviews	review	NOUN
bibechana-57732	199	2	in	in	ADP
bibechana-57732	199	3	computational	computational	ADJ
bibechana-57732	199	4	chemistry	chemistry	NOUN
bibechana-57732	199	5	,	,	PUNCT
bibechana-57732	199	6	29:186–273	29:186–273	NUM
bibechana-57732	199	7	,	,	PUNCT
bibechana-57732	199	8	2016	2016	NUM
bibechana-57732	199	9	.	.	PUNCT
bibechana-57732	200	1	[	[	X
bibechana-57732	200	2	18	18	NUM
bibechana-57732	200	3	]	]	X
bibechana-57732	200	4	fan	fan	PROPN
bibechana-57732	200	5	yang	yang	PROPN
bibechana-57732	200	6	,	,	PUNCT
bibechana-57732	200	7	dan	dan	PROPN
bibechana-57732	200	8	wang	wang	PROPN
bibechana-57732	200	9	,	,	PUNCT
bibechana-57732	200	10	fan	fan	PROPN
bibechana-57732	200	11	xu	xu	PROPN
bibechana-57732	200	12	,	,	PUNCT
bibechana-57732	200	13	zhitao	zhitao	PROPN
bibechana-57732	200	14	huang	huang	PROPN
bibechana-57732	200	15	,	,	PUNCT
bibechana-57732	200	16	and	and	CCONJ
bibechana-57732	200	17	kwok	kwok	PROPN
bibechana-57732	200	18	l	l	PROPN
bibechana-57732	200	19	tsui	tsui	PROPN
bibechana-57732	200	20	.	.	PUNCT
bibechana-57732	201	1	lifespan	lifespan	PROPN
bibechana-57732	201	2	prediction	prediction	NOUN
bibechana-57732	201	3	of	of	ADP
bibechana-57732	201	4	lithium	lithium	NOUN
bibechana-57732	201	5	-	-	PUNCT
bibechana-57732	201	6	ion	ion	NOUN
bibechana-57732	201	7	batteries	battery	NOUN
bibechana-57732	201	8	based	base	VERB
bibechana-57732	201	9	on	on	ADP
bibechana-57732	201	10	various	various	ADJ
bibechana-57732	201	11	extracted	extract	VERB
bibechana-57732	201	12	features	feature	NOUN
bibechana-57732	201	13	and	and	CCONJ
bibechana-57732	201	14	gradient	gradient	NOUN
bibechana-57732	201	15	boosting	boost	VERB
bibechana-57732	201	16	regression	regression	NOUN
bibechana-57732	201	17	tree	tree	NOUN
bibechana-57732	201	18	model	model	NOUN
bibechana-57732	201	19	.	.	PUNCT
bibechana-57732	202	1	journal	journal	PROPN
bibechana-57732	202	2	of	of	ADP
bibechana-57732	202	3	power	power	NOUN
bibechana-57732	202	4	sources	source	NOUN
bibechana-57732	202	5	,	,	PUNCT
bibechana-57732	202	6	476:228654	476:228654	NUM
bibechana-57732	202	7	,	,	PUNCT
bibechana-57732	202	8	2020	2020	NUM
bibechana-57732	202	9	.	.	PUNCT
bibechana-57732	203	1	[	[	X
bibechana-57732	203	2	19	19	NUM
bibechana-57732	203	3	]	]	X
bibechana-57732	203	4	timothy	timothy	PROPN
bibechana-57732	203	5	o	o	PROPN
bibechana-57732	203	6	hodson	hodson	PROPN
bibechana-57732	203	7	.	.	PUNCT
bibechana-57732	204	1	root	root	PROPN
bibechana-57732	204	2	mean	mean	VERB
bibechana-57732	204	3	square	square	ADJ
bibechana-57732	204	4	error	error	NOUN
bibechana-57732	204	5	(	(	PUNCT
bibechana-57732	204	6	rmse	rmse	NOUN
bibechana-57732	204	7	)	)	PUNCT
bibechana-57732	204	8	or	or	CCONJ
bibechana-57732	204	9	mean	mean	VERB
bibechana-57732	204	10	absolute	absolute	ADJ
bibechana-57732	204	11	error	error	NOUN
bibechana-57732	204	12	(	(	PUNCT
bibechana-57732	204	13	mae	mae	PROPN
bibechana-57732	204	14	):	):	PUNCT
bibechana-57732	204	15	when	when	SCONJ
bibechana-57732	204	16	to	to	PART
bibechana-57732	204	17	use	use	VERB
bibechana-57732	204	18	them	they	PRON
bibechana-57732	204	19	or	or	CCONJ
bibechana-57732	204	20	not	not	PART
bibechana-57732	204	21	.	.	PUNCT
bibechana-57732	205	1	geoscientific	geoscientific	PROPN
bibechana-57732	205	2	model	model	PROPN
bibechana-57732	205	3	development	development	NOUN
bibechana-57732	205	4	discussions	discussion	NOUN
bibechana-57732	205	5	,	,	PUNCT
bibechana-57732	205	6	pages	page	NOUN
bibechana-57732	205	7	1–10	1–10	NOUN
bibechana-57732	205	8	,	,	PUNCT
bibechana-57732	205	9	2022	2022	NUM
bibechana-57732	205	10	.	.	PUNCT
bibechana-57732	206	1	https://oqmd.org/	https://oqmd.org/	NOUN
bibechana-57732	206	2	introduction	introduction	NOUN
bibechana-57732	206	3	process	process	NOUN
bibechana-57732	206	4	of	of	ADP
bibechana-57732	206	5	machine	machine	NOUN
bibechana-57732	206	6	learning	learn	VERB
bibechana-57732	206	7	density	density	NOUN
bibechana-57732	206	8	functional	functional	ADJ
bibechana-57732	206	9	theory	theory	NOUN
bibechana-57732	206	10	to	to	ADP
bibechana-57732	206	11	machine	machine	NOUN
bibechana-57732	206	12	learning	learn	VERB
bibechana-57732	206	13	transition	transition	NOUN
bibechana-57732	206	14	metal	metal	NOUN
bibechana-57732	206	15	dichalcogenides	dichalcogenide	NOUN
bibechana-57732	206	16	materials	material	NOUN
bibechana-57732	206	17	and	and	CCONJ
bibechana-57732	206	18	methodology	methodology	NOUN
bibechana-57732	206	19	data	datum	NOUN
bibechana-57732	206	20	mining	mining	NOUN
bibechana-57732	206	21	gradient	gradient	PROPN
bibechana-57732	206	22	descent	descent	NOUN
bibechana-57732	206	23	cross	cross	ADJ
bibechana-57732	206	24	-	-	ADJ
bibechana-57732	206	25	validation	validation	ADJ
bibechana-57732	206	26	gradient	gradient	NOUN
bibechana-57732	206	27	boosting	boost	VERB
bibechana-57732	206	28	regression	regression	NOUN
bibechana-57732	206	29	model	model	NOUN
bibechana-57732	206	30	results	result	NOUN
bibechana-57732	206	31	and	and	CCONJ
bibechana-57732	206	32	discussion	discussion	NOUN
bibechana-57732	206	33	lattice	lattice	PROPN
bibechana-57732	206	34	constants	constant	NOUN
bibechana-57732	206	35	prediction	prediction	NOUN
bibechana-57732	206	36	for	for	ADP
bibechana-57732	206	37	cubic	cubic	ADJ
bibechana-57732	206	38	systems	systems	PROPN
bibechana-57732	206	39	lattice	lattice	PROPN
bibechana-57732	206	40	constants	constant	NOUN
bibechana-57732	206	41	prediction	prediction	NOUN
bibechana-57732	206	42	for	for	ADP
bibechana-57732	206	43	trigonal	trigonal	ADJ
bibechana-57732	206	44	systems	system	NOUN
bibechana-57732	206	45	conclusions	conclusion	NOUN