id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
cet-15115		cet-15115		6	.pdf	application/pdf	3305	127	40	This research aims to investigate if integrating advanced AI analytical methods can enhance the performance and applicability of QSPR models for predicting the physical hazards of chemical mixtures. Considering that we successfully developed QSPR models based on multilinear regression for the flash point of chemical mixtures in previous works (Fayet and Rotureau, 2019;	cache/cet-15115.pdf	txt/cet-15115.txt