Papers in Physics, vol. 13, art. 130003 (2021) Received: 17 February 2021, Accepted: 17 April 2021 Edited by: O. Fojón Reviewed by: D. K. Nguyen, Thu Dau Mot University, Vietnam P. F. Weck, University of Nevada, Las Vegas, USA Licence: Creative Commons Attribution 4.0 DOI: https://doi.org/10.4279/PIP.130003 www.papersinphysics.org ISSN 1852-4249 An ab initio study of small gas molecule adsorption on the edge of N-doped sawtooth penta-graphene nanoribbons Nguyen Thanh Tien1*, Le Vo Phuong Thuan1, Tran Yen Mi1 Adsorption of the toxic gas molecules carbon monoxide (CO), carbon dioxide (CO2) and ammonia (NH3) on the edge of N-doped sawtooth penta-graphene nanoribbons (N:SSPGNRs) was studied using first-principles methods. Basing our study on density functional theory (DFT), we investigated adsorption configurations, adsorption energy, charge transfer, and the electronic properties of CO-, CO2- and NH3- adsorbed onto N:SSPGNRs. We found that CO and CO2 are chemisorbed on the edge of N:SSPGNR, while NH3 is physisorbed. Current-voltage (I–V) characteristics were also investigated using the non-equilibrium Green’s function (NEGF) approach. Gas molecules can modify the current of a device based on N:SSPGNRs. The results indicate the potential of using N:SSPGNRs for detection of these toxic gas molecules. I Introduction Detecting gas molecules using semiconductor gas sensors is important for agriculture, chemical con- trols, environmental monitoring, and medical ap- plications [1, 2]. Low-dimensional systems, espe- cially material systems based on graphene, have for many years demonstrated outstanding develop- ments in sensors and transistor applications [3–8]. However, since the band gap of graphene is al- most equal to 0, it has not been fully exploited in the semiconductor industry [9]. The immense suc- cess of graphene [10–12] was followed by in-depth studies and encouraging efforts to find other two- dimensional (2D) nanostructures, such as silicene [13], phosphorene [14] single-layer graphitic zinc ox- ide [15], h-boron nitride [16], and transition-metal dichalcogenides [17]. Penta-graphene (PG), a novel wide band gap carbon allotrope, and PG-like mate- *nttien@ctu.edu.vn 1 College of Natural Sciences, Can Tho University, 3-2 Road, Can Tho City 94115, Vietnam rials were discovered in early 2015 [18–20]. It was found that PG is ultra-strong, and can sustain a temperature of 1000 K with grain boundaries. It displays a quasi-direct intrinsic band gap of 3.2 eV [18, 21]. Additionally, using the G0W0 approxima- tion, the PG band gap was calculated as 4.2 eV [22]. In contrast to hydrogenated graphene, hydrogena- tion of PG leads to a notable increase (76% rise) in thermal conductivity instead of the 63% reduction expected due to heat dispersal in device operation [23]. Furthermore, PG is noteworthy due to its unique mechanical properties and anisotropic me- chanical behavior [24]. Unlike graphene, PG has a buckle structure, which allows it to adsorb gas molecules in rich configurations. Thus, PG is con- sidered an excellent base for the development of gas sensors which can detect harmful gases such as CO, CO2 and NH3 [25–27]. Cutting 2D-PG sheets in various crystallography directions obtains more different penta-graphene nanoribbons (PGNRs). Z. Q. Fan et al. found that the sawtooth-sawtooth PGNR (SSPGNR) is a more stable structure than the other three PGNR struc- 130003-1 Papers in Physics, vol. 13, art. 130003 (2021) / N. T. Tien et al. Figure 1: Schematic of possible N:SSPGNR adsor- bent sites for gas molecules, consisting of a) C-H- N:SSPGNR, b) H-N-N:SSPGNR, c) C-N-N:SSPGNR. tures [28]. PGNR receives major attention in semi- conductor material science since its energy band gap can be controlled effectively in many ways, such as by applying an electric field and bending [29], doping [30, 31], and edge termination [32, 33]. In our previous studies [31] we discovered that the cur- rent intensity of N:SSPGNR increases to about 108 times that of pure SSPGNR. This is convenient for determining current strength in electronic devices, including sensors. Furthermore, we studied the ad- sorption feature of the gas molecules (CO, CO2 and NH3) on the SSPGNR surface [34]. The results confirm that SSPGNR is sensitive to CO and NH3 molecules, but less sensitive to the CO2 molecule [26, 27]. However, it is important to study the ab- sorption configurations at the edges of nanoribbons [8, 35]. SSPGNR can provide prior adsorption sites at its edges, which can serve as ideal gas sensor materials. Nitrogen doping at the carbon edge of PGNRs allows prior adsorption at this edge with- out hydrogen passivation. The carbon at the edge without hydogen passivation presents the dangling effect that favorably adsorbs CO, CO2 and NH3. In this study, using DFT and NEGF methods we in- vestigate theoretically the electronic and transport properties of N:SSPGNR when gas molecules (CO, CO2 and NH3) are adsorbed on their edge. The paper is organized as follows: the subject and research objectives are presented in the in- troduction section; in section II the computational methods are discussed; section III contains the re- sults and discussion of the electronic and trans- port properties of N:SSPGNR with the adsorbed Figure 2: Adsorption configurations of C-H- N:SSPGNR consist of: a) C-H-N:SSPGNR, b) isolated gas molecules and c) configurations of C-H-N:SSPGNR after adsorption gas molecules. gas molecules on the edge; in section IV the con- clusions are presented. II Computational Methods The electronic and transport properties of N:SSPGNRs which adsorb gas molecules were explored by first-principles calculations based on DFT and NEGF, using the Atomistix ToolKit (ATK) software package (version 2017.1) [36, 37]. The width of the studied structure was six saw- tooth chains. A 10 Å vacuum space was introduced along non periodic (i.e., x and y) directions to ensure the isolation of N:SSPGNRs from their periodic replicas. The samples were optimized using DFT calcu- lations within the generalized gradient approxima- tion (GGA) of Perdew Burke Ernzerhof (PBE) [40], with the following similar conditions: 1 x 1 x 9 k- point sampling, a cut-off energy of 790 eV and elec- tron temperature of 300 K. Considering the electric polarization effect, a double-zeta-polarized basis set was used to expand the electron wave function. The self-consistent field tolerance was set as 10−6 Ha. Furthermore, the ground state configuration was obtained at the convergence precision of energy for the maximum energy change, the maximum force, the maximum stress and the maximum displace- ment of 2.10−5 eV/atom, 0.05 Ha/Å, 0.05 eV Å−3 and 0.005 Å, respectively. 130003-2 Papers in Physics, vol. 13, art. 130003 (2021) / N. T. Tien et al. Table 1: Adsorption orientations and corresponding numbers for the adsorption structures of CO, CO2 and NH3 on the edge of N:SSPGNR Gas Configurations Adsorption orientations Notation of N:SSPGNR CO C-H-N:SSPGNR Vertical to C and O is downward COCH1 Vertical to C and O is upward COCH2 H-N-N:SSPGNR Vertical to N and O is downward COHN1 Vertical to Nintro and O is upward COHN2 C-N-N:SSPGNR Vertical to C and O is downward COCN1 Vertical to C and O is upward COCN2 Vertical to N and O is downward COCN3 Vertical to N and O is upward COCN4 CO2 C-H-N:SSPGNR Vertical to C CO2CH1 Horizontal to C and CO2 perpendicular to PG CO2CH2 Horizontal to C and CO2 parallel to PG CO2CH3 H-N-N:SSPGNR Vertical to N CO2HN1 Horizontal to N and CO2 perpendicular to PG CO2HN2 Horizontal to N and CO2 parallel to PG CO2HN3 C-N-N:SSPGNR Vertical to C CO2CN1 Horizontal to C and CO2 perpendicular to PG CO2CN2 Horizontal to C and CO2 parallel to PG CO2CN3 Vertical to N CO2CN4 Horizontal to N and CO2 perpendicular to PG CO2CN5 Horizontal to N and CO2 parallel to PG CO2CN6 NH3 C-H-N:SSPGNR Gas molecule is downward NH3CH1 Gas molecule is upward NH3CH2 H-N-N:SSPGNR Gas molecule is downward NH3HN1 Gas molecule is upward NH3HN2 C-N-N:SSPGNR Gas molecule is downward NH3CN1 Gas molecule is upward NH3CN2 Gas molecule is downward NH3CN3 Gas molecule is upward NH3CN4 III Results and Discussion i Structure Stability To gauge the capacity of N:SSPGNRs to detect gas molecules (CO, CO2 and NH3), the adsorption of gas molecules was investigated on their edges, as the edge is the most reactive site on the ribbon due to the presence of dangling bonds. Figure 1 depicts three possible adsorbent sites on the edge of an N:SSPGNR, including: a) removing a passive H atom at the top of the C atom (C- H-N:SSPGNR), b) removing a passive H atom at the top of the N atom (H-N-N:SSPGNR), and c) removing both passive H atoms on the edge of the ribbon (C-N-N:SSPGNR). To explore the preferred configuration, we had to identify the model which the guest molecules would approach uninhibitedly. We in turn determined the most appropriate config- uration for each gas molecule: CO, CO2 and NH3. We first considered possible adsorption config- urations of the CO molecule on the edge of an N:SSPGNR; CO can be adsorbed vertically on the edge with the O atom either upward or downward. Therefore, there are 8 possible adsorption configu- rations with the CO molecule. Similarly, there are 12 possible adsorption configurations for the CO2 molecule and 8 for the NH3 molecule. These con- figurations are listed in Table 1. To determine the preferred configuration, we cal- culated the adsorption energy (Ead) of all the con- figurations considered, as follows [38, 39]: Ead = Etotal − Eribbon − Egas, (1) where Etotal, Eribbon and Egas are the total ener- gies of a considered configuration after gas molecule adsorption, removing a passive H atom nanorib- bon and isolated gas molecules, respectively. As per the definition adopted here, negative adsorp- 130003-3 Papers in Physics, vol. 13, art. 130003 (2021) / N. T. Tien et al. tion energy shows that the process is exothermic in nature while the magnitude signifies thermody- namic stability. Computed results indicated that COCH2, CO2CH2 and NH3CH2 (Fig. 2) were the preferred configurations of CO, CO2 and NH3 on N:SSPGNRs, respectively. The adsorption energy of these samples decreased gradually from -0.26 to -2.96 eV in the following order: Ead(NH3) > Ead(CO2) > Ead(CO). It is obvious that CO ad- sorption is the most stable. In all three adsorption cases, the N:SSPGNR edge atom closest to gas molecules is a C atom rather than an N atom. This suggests that the most effective N:SSPGNR configuration for adsorption of gas molecules is the C-H-N:SSPGNR configuration. The adsorption distances of CO, CO2, and NH3 are 1.291 Å, 1.487 Å, and 3.317 Å, respectively, as shown in Table 2. Therefore, CO- and CO2- ad- sorbed N:SSPGNRs are more capable of chemical adsorption than physical adsorption, while an NH3- adsorbed N:SSPGNR is more likely to adsorb phys- ically [41]. ii Parameters of structures Table 3 presents the parameters of three adsorption structures after relaxation. It can be clearly seen that the bond lengths of the gas molecules vary slightly. Namely, after the adsorption, the bond lengths of two adsorbed gas molecules (CO, CO2) are longer than those of isolated gas molecules. The opposite is true of NH3 gas molecules. In addi- tion, the bond angle of the CO2 molecule is re- duced from 180◦ to 122◦. The bond angles of the NH3 gas molecules change negligibly. In particu- lar, the bond length of the CO adsorption sample changes the most. This is also one reason the ad- sorption energy in this sample is the largest. On the other hand, the bond lengths (d1, d2, d3) and Table 2: Adsorption energy (Ead), adsorption distance (h), band gap (Eg) and charge transfer (Q) from gas molecules to C-H-N:SSPGNR. Samples Ead h Eg Q (eV) (Å) (eV) (e) COCH2 - 1.96 1.291 2.41 0.14 CO2CH2 - 1.31 1.487 2.21 0.47 NH3CH2 -0.26 3.317 1.60 0.03 Figure 3: Density of states of systems: a) C-H-N:SSPGNR(CO) and C-H-N:SSPGNR; b) C- H-N:SSPGNR(CO2) and C-H-N:SSPGNR; c) C-H- N:SSPGNR(NH3) and C-H-N:SSPGNR. the bond angles (β1, β2, β3) close to the edge of C-H-N:SSPGNR substrate were also changed after the gas molecule adsorption. The changes in the structural parameters due to this interaction is the basis of the change in electronic properties, which will be analyzed in the next section. iii Electronic Properties The electronic properties of C-H-N:SSPGNR were studied to understand its capacity to detect CO, CO2 and NH3. We first investigated the density of states (DOS) of CO, CO2 and NH3-adsorbed C-H- N:SSPGNR, as shown in Fig. 3. We also see that after the adsorption of gas molecules, the DOS of systems changed, and the band gaps of all three samples expanded. Specifically, the band gap of CO-adsorbed C-H-N:SSPGNR showed the largest increase; its band gap increased to 2.41 eV while the band gap of C-H-N:SSPGNR was only 1.44 eV. On the other hand, the sample with the smallest band gap change was the NH3-adsorbed C-H-N:SSPGNR sample (Table 2). The trend seen in the calculated charge transfer (Q) in Table 2 can be understood as capacity for relative electron donation or electron withdrawal of the adsorbed molecules. The positive Q values mean that charge was transferred from the adsorbed molecules to the C-H-N:SSPGNR in all three cases, the charge transferred from the CO2 to the C-H-N:SSPGNR being the largest (Q = 0.47e). 130003-4 Papers in Physics, vol. 13, art. 130003 (2021) / N. T. Tien et al. Table 3: Bond lengths of gas molecules before and after adsorption (l1 to l6), bond angles of gas molecules before and after adsorption (α1 to α4), bond lengths at edge of C-H-N:SSPGNR before and after gas molecule adsorption (d1 to d4), and bond angles of C-H-N:SSPGNR before and after adsorption for gas molecules ( β1 to β4 ). Samples C-H-N:SSPGNR CO CO2 NH3 COCH2 CO2CH2 NH3CH2 l1 (Å) - 1.128 - - 1.184 - - l2 (Å) - - 1.128 - - 1.213 - l3 (Å) - - 1.128 - - 1.213 - l4 (Å) - - - 1.163 - - 1.022 l5 (Å) - - - 1.163 - - 1.026 l6 (Å) - - - 1.163 - - 1.029 α1 ( ◦) - - 180 - - 122 - α2 ( ◦) - - - 107.8 - - 106.0 α3 ( ◦) - - - 107.8 - - 106.1 α4 ( ◦) - - - 107.8 - - 106.5 d1 (Å) 1.338 - - - 1.339 1.366 1.338 d2 (Å) 1.540 - - - 1.397 1.425 1.536 d3 (Å) 1.508 - - - 1.414 1.409 1.507 β1 ( ◦) 122.5 - - - 125.4 132.6 123.1 β2 ( ◦) 108.5 - - - 102.9 108.6 108.8 β3 ( ◦) 102.9 - - - 108.8 106.3 102.8 β4 ( ◦) 120.4 - - - 131.2 111.4 120.2 To better understand the cause of the changes in band gaps after adsorption, we analyzed the con- tribution of the gas molecules by drawing the total density of states (TDOS) and the local density of states (LDOS), shown in Fig. 4. We also see that the main contribution to the changes in DOS is not due to the gas molecules but to changes in the substrate. In particular, the CO molecule has the most influence on DOS and the NH3 molecule has the least. In all cases, the major contribution to the changes in band gap width is the p orbitals of the atoms. On the other hand, as can be see from Fig. 3 and Fig. 4, in all three cases there is an overlap between the DOS lines, which confirms the connec- tion between the gas molecules and the substrate. However, in the case of CO and CO2 adsorption, there is an overlap and interlacing between TDOS and LDOS, so we can confirm that there is chemical bond formation. The adsorption in these two cases is chemical. In contrast, in the case of NH3 the adsorption is only the overlapping between TDOS and LDOS; NH3 can only physically adsorb on the edge of N:SSPGNR. Figure 5 shows the electron density difference (EDD) for all three adsorbed samples. The EDD was calculated using the following formula: ∆ρ = ρ(T otal) − ρ(ribbon) − ρ(gas). (2) Here, ρ(T otal) and ρ(ribbon) represent the total elec- tron densities of the N:SSPGNR with and without adsorbed gas molecules, respectively, and ρ(gas) is the electron density of the isolated gas molecules. Figure 4: TDOS of systems: a) C-H-N:SSPGNR(CO); b) C-H-N:SSPGNR(CO2); c) C-H-N:SSPGNR(NH3) and LDOS of the gas molecules (the filled area under the DOS curve). 130003-5 Papers in Physics, vol. 13, art. 130003 (2021) / N. T. Tien et al. Figure 5: The electron density difference for CO, CO2 and NH3-adsorbed N:SSPGNR. The isosurface value is taken as 0.009 eV Å−3. The electron density differ- ence is defined as the valence electron density minus the neutral atom electron density. It can be seen from the EDD plots that the charges were accumulated over the adsorbed gas molecules. The formation of chemical bonds is evident in the case of CO and CO2 adsorption. The elec- tron density at the interface region between CO, CO2 and N:SSPGNR indicates that the adsorbed gas molecule does form covalent bonds with the N:SSPGNR after the adsorption process. In con- trast, in the case of NH3 adsorption, no formation of covalent bonds was found, because there is little electron density difference at the interface between the NH3 gas molecule and N:SSPGNR. iv Transport Properties In the previous section, we showed that the ad- sorption of gas molecules causes changes in the electronic band gaps of N:SSPGNR. For further verification of CO, CO2 and NH3 detection by N:SSPGNR, we studied the transport properties of C-H-N:SSPGNR before and after the adsorption of gas molecules. The current voltage (I-V) charac- teristics were obtained using a two-probe model. Figure 6 shows the correlation between the cur- rent and the bias voltage of the adsorbed samples and the pure sample. We can see that all of these lines have the same shape. On the graph there is a conduction pause although the bias voltage in- creases. When the bias voltage reaches a certain limit value (1.6 V), the current begins to increase, then decreases until saturation at 2.0 V. Specifi- cally, except for the CO2 adsorption sample, the current of the remaining samples starts to increase at the bias voltage of 1.6 V (threshold bias). For semiconductors, when the polarizing voltage is not Figure 6: Calculated I-V curves for four struc- tures: C-H-N:SSPGNR, C-H-N:SSPGNR(CO), C-H- N:SSPGNR(CO2) and C-H-N:SSPGNR(NH3). large enough the device stops conducting, but when it is large enough for an electron to cross the bar- rier, the device begins to conduct electricity. Thus, we can conclude that the structures under consid- eration are semiconductors. The maximum current obtained for pure C-H-N:SSPGNR, CO-adsorbed C-H-N:SSPGNR, CO2-adsorbed C-H-N:SSPGNR, and NH3-adsorbed C-H-N:SSPGNR is 0.3 nA, 0.7 nA, 13.7 nA, and 0.4 nA, respectively. In all four cases, the maximum currents occur at the bias volt- age of 1.8 V. The maximum current of the CO2 adsorption sample is the highest, 45 times greater than that of the pure sample. The maximum cur- rent of the NH3 adsorption sample is the lowest, only 1.3 times greater than that of the pure sample. All these findings suggest that the N:SSPGNR cur- rent can be distinguished before and after molecule adsorption [42]. To explain the change in the trend of the I-V curves in Fig. 6, we considered the bias dependent transmission spectra, T(E,Vb), of the four stud- ied structures via Fig. 7 (left-hand panels). We see that the T(E,Vb) of the pure C-H-N:SSPGNR, the CO-adsorbed C-H-N:SSPGNR, and the NH3- adsorbed C-H-N:SSPGNR differ very little. How- ever, the T(E,Vb) spectrum of the CO2-adsorbed C-H-N:SSPGNR is very different from the three other samples. This is also related to the charge transfer phenomenon mentioned in Table 2. Fur- thermore, the various maximum currents occur at 130003-6 Papers in Physics, vol. 13, art. 130003 (2021) / N. T. Tien et al. Figure 7: Left-hand panels: The contour of the bias-dependent transmission T(E,Vb); Right-hand panels: Transmission coefficient at 1.8 V bias of four structures: a) C-H-N:SSPGNR, b) C-H-N:SSPGNR(CO), c) C-H- N:SSPGNR(CO2) and d) C-H-N:SSPGNR(NH3). the bias voltage of 1.8 V; the transmission coeffi- cients at 1.8 V bias of the four structures were cal- culated and shown in the right-hand panels of Fig. 7. The values and filled zones bounded by the hor- izontal axis and T(E, Vb = 1.8 V) curves help us to explain the changing tendency of the maximum currents of the four structures. IV Conclusions In summary, using first-principle calculations we studied the adsorption geometry, adsorption en- ergy, charge transfer, density of states, partial den- sity of states and I-V curves of N:SSPGNR with gas molecule (CO, CO2 and NH3) adsorption. Our calculated results show that edge adsorption of CO and CO2 molecules is more energetically favorable than edge adsorption of NH3. Moreover, the ad- sorption of CO and CO2 on the edge of N:SSPGNR is chemical, while the adsorption of NH3 is physi- cal. The current voltage (I–V) characteristics were also investigated using the non-equilibrium Green’s function (NEGF) approach. The results indicate that conductance of the CO, CO2, and NH3 adsorp- tion N:SSPGNR can be distinguished at the bias voltage of 1.8 V. These changes in electronic and transport properties make N:SSPGNR a promising candidate for gas detector development. Acknowledgements - This research was funded in part by the Can Tho University Improvement Project VN14-P6, supported by a Japanese ODA loan. We are grateful to the information center and network administrator of Can Tho University (CTU) for computational support. We also thank Prof. Yoshitada Morikawa (Osaka University) for discussing research ideas. 130003-7 Papers in Physics, vol. 13, art. 130003 (2021) / N. T. Tien et al. [1] N Haleh, J Aashish, P Jaewoo, E Arezoo, Ad- vanced micro-and nano-gas sensor technology: A review, Sensors 19, 1285 (2019). [2] S Yang, C Jiang, S H Wei, Gas sensing in 2D materials, Appl. Phys. Rev. 4, 021304 (2017). [3] C Tan, X Cao, X J Wu, Q He, J Yang, H Zhang, et. al, Recent advances in ultrathin two-dimensional nanomaterials, Chem. Rev. 117, 6225 (2017). [4] J Chen, L Xu, W Li, X Gou, α-Fe2O3 nan- otubes in gas sensor and lithium-ion battery applications, Adv. Mater. 17, 582 (2005). [5] V Singh, D Joung, L Zhai, S Das, S I Khon- daker, S Seal, Graphene based materials: Past, present and future, Prog. Mater. Sci. 56, 1178 (2011). [6] P Sun, Z Kunlin, H Wang, Recent develop- ments in graphene-based membranes: Struc- ture, mass-transport mechanism and potential applications, Adv. Mater. 28, 2287 (2016). [7] D N Quang, L Tuan, N T Tien, Electron mobility in Gaussian heavily doped ZnO sur- face quantum wells, Phys. Rev. B 77, 125326 (2008). [8] B Huang, Z Li, Z Liu, G Zhou, S Hao, J Wu, B L Gu, W Duan, Adsorption of gas molecules on graphene nanoribbons and its implication for nanoscale molecule sensor, J. Phys. Chem. C 112, 13442 (2008). [9] F Schwierz, Graphene transistors, Nature Nanotech. 5, 487 (2010). [10] A H Castro Neto, F Guinea, N M R Peres, K S Novoselov, A K Geim, The electronic prop- erties of graphene, Rev. Mod. Phys. 81, 109 (2009). [11] F Bonaccorso, Z Sun, T Hasan, A Ferrari, Graphene photonics and optoelectronics, Na- ture photon. 4, 611 (2010). [12] P Avouris, Graphene: Electronic and photonic properties and devices, Nano Lett. 10, 4285 (2010). [13] P Vogt, P D Padova, C Quaresima, J Avila, E Frantzeskakis, M C Asensio, A Resta, B Ealet, G L Lay, Silicene: Compelling experimental evidence for graphenelike two-dimensional sil- icon, Phys. Rev. Lett. 108, 155501 (2012). [14] A Ziletti, A Carvalho, D K Campbell, D F Coker, A H Castro Neto, Oxygen defects in phosphorene, Phys. Rev. Lett. 114, 046801 (2015). [15] X Deng, K Yao, K Sun, W X Li, J Lee, C Ma- tranga, Growth of single-and bilayer ZnO on Au(111) and interaction with copper, J. Phys. Chem. C 117, 11211 (2013). [16] X Blase, A Rubio, S G Louie, M L Cohen, Quasiparticle band structure of bulk hexagonal boron nitride and related systems, Phys. Rev. B 51, 6868 (1995). [17] D W Latzke, W Zhang, A Suslu, T R Chang, H Lin, H T Jeng, S Tongay, J Wu, A Bansil, A Lanzara, Electronic structure, spin-orbit cou- pling, and interlayer interaction in bulk MoS2 and WS2, Phys. Rev. B 91, 235202 (2015). [18] S Zhang, J Zhou, Q Wang, X Chen, Y Kawa- zoe, P Jena, Penta-graphene: A new carbon allotrope, P. Natl. Acad. Sci. U.S.A. 112, 2372 (2015). [19] T Stauber, J I Beltran, J Schliemann, Tight- binding approach to penta-graphene, Sci. Rep. 6, 1 (2016). [20] T Y Mi, N D Khanh, R Ahuja, N T Tien, Diverse structural and electronic properties of pentagonal SiC2 nanoribbons: A first- principles study, Mater. Today Comm. 26, 102047 (2021). [21] J Sun, Y Guo, Q Wang, Y Kawazoe, Thermal transport properties of penta-graphene with grain boundaries, Carbon 145, 445 (2019). [22] H Einollahzadeh, R Dariani, S Fazeli, Comput- ing the band structure and energy gap of penta- graphene by using DFT and G0W0 approxima- tions, Solid State Comm. 229, 1 (2016). 130003-8 https://doi.org/10.3390/s19061285 https://doi.org/10.1063/1.4983310 https://doi.org/10.1021/acs.chemrev.6b00558 https://doi.org/10.1021/acs.chemrev.6b00558 https://doi.org/10.1002/adma.200401101 https://doi.org/10.1016/j.pmatsci.2011.03.003 https://doi.org/10.1016/j.pmatsci.2011.03.003 https://doi.org/10.1002/adma.201502595 https://doi.org/10.1103/PhysRevB.77.125326 https://doi.org/10.1103/PhysRevB.77.125326 https://doi.org/10.1021/jp8021024 https://doi.org/10.1021/jp8021024 https://doi.org/10.1038/nnano.2010.89 https://doi.org/10.1038/nnano.2010.89 https://doi.org/10.1103/RevModPhys.81.109 https://doi.org/10.1103/RevModPhys.81.109 https://doi.org/10.1038/nphoton.2010.186 https://doi.org/10.1038/nphoton.2010.186 https://doi.org/10.1021/nl102824h https://doi.org/10.1021/nl102824h https://doi.org/10.1103/PhysRevLett.108.155501 https://doi.org/10.1103/PhysRevLett.114.046801 https://doi.org/10.1103/PhysRevLett.114.046801 https://doi.org/10.1021/jp402008w https://doi.org/10.1021/jp402008w https://doi.org/10.1103/PhysRevB.51.6868 https://doi.org/10.1103/PhysRevB.51.6868 https://doi.org/10.1103/PhysRevB.91.235202 https://doi.org/10.1073/pnas.1416591112 https://doi.org/10.1073/pnas.1416591112 https://doi.org/10.1038/srep22672 https://doi.org/10.1038/srep22672 https://doi.org/10.1016/j.mtcomm.2021.102047 https://doi.org/10.1016/j.mtcomm.2021.102047 https://doi.org/10.1016/j.carbon.2019.01.015 https://doi.org/10.1016/j.ssc.2015.12.012 Papers in Physics, vol. 13, art. 130003 (2021) / N. T. Tien et al. [23] X Wu, V Varshney, J Lee, T Zhang, J L Wohlwend, A K Roy, T Luo, Hydrogenation of penta-graphene leads to unexpected large im- provement in thermal conductivity, Nano Lett. 16, 3925 (2016). [24] S Winczewski, J Rybicki, Anisotropic mechan- ical behavior and auxeticity of penta-graphene: Molecular statics/molecular dynamics studies, Carbon 146, 572 (2019). [25] R Krishnan, W S Su, H T Chen, A new car- bon allotrope: Penta-graphene as a metal-free catalyst for CO oxidation, Carbon 114, 465 (2017). [26] H Qin, C Feng, X Luan, D Yang, First- principles investigation of adsorption behav- iors of small molecules on penta-graphene, Nanoscale Res. Lett. 13, 1 (2018). [27] C P Zhang, B Li, Z G Shao, First-principle investigation of CO and CO2 adsorption on Fe-doped penta-graphene, Appl. Surf. Sci. 469, 641 (2019). [28] P F Yuan, Z H Zhang, Z Q Fan, M Qiu, Electronic structure and magnetic properties of penta-graphene nanoribbons, Phys. Chem. Chem. Phys. 19, 9528 (2017). [29] C He, X F Wang, W X Zhang, Coupling ef- fects of the electric field and bending on the electronic and magnetic properties of penta- graphene nanoribbons, Phys. Chem. Chem. Phys. 19, 18426 (2017). [30] N T Tien, V T Phuc, R Ahuja, Tuning elec- tronic transport properties of zigzag graphene nanoribbons with silicon doping and phospho- rus passivation, AIP Adv. 8, 085123 (2018). [31] N T Tien, P T B Thao, V T Phuc, R Ahuja, Electronic and transport features of sawtooth penta-graphene nanoribbons via substitutional doping, Physica E: Low Dimens. Syst. Nanos- truct. 114, 113572 (2019). [32] N T Tien, P T B Thao, V T Phuc, R Ahuja, Influence of edge termination on the electronic and transport properties of sawtooth penta- graphene nanoribbons, J. Phys. Chem. Solids 146, 109528 (2020). [33] Y H Li, P F Yuan, Z Q Fan, Z H Zhang, Electronic properties and carrier mobility for penta-graphene nanoribbons with nonmetallic- atom-terminations, Org. Electron. 59, 306 (2018). [34] T Y Mi, D M Triet, N T Tien, Adsorption of gas molecules on penta-graphene nanoribbon and its implication for nanoscale gas sensor, Physics Open 2, 100014 (2020). [35] A Saffarzadeh, Modeling of gas adsorption on graphene nanoribbons, J. Appl. Phys. 107, 114309 (2010). [36] J Taylor, H Guo, J Wang, Ab initio modeling of quantum transport properties of molecular electronic devices, Phys. Rev. B 63, 245407 (2001). [37] M Brandbyge, J L Mozos, P Ordejón, J Tay- lor, K Stokbro, Density-functional method for nonequilibrium electron transport, Phys. Rev. B 65, 165401 (2002). [38] J Zhao, A Buldum, J Han, J P Lu, Gas molecule adsorption in carbon nanotubes and nanotube bundles, Nanotechnology 13, 195 (2002). [39] J W Feng, Y J Liu, H X Wang, J X Zhao, Q H Cai, X Z Wang, Gas adsorption on silicene: A theoretical study, Comp. Mater. Sci. 87, 218 (2014). [40] P J Perdew, K Burke, M Ernzerhof, Gen- eralized gradient approximation made simple, Physical Rev. Lett. 77, 3865 (1996). [41] P Pyykkö, M Atsumi, Molecular single-bond covalent radii for elements 1–118, Chem. Eur. J. 15, 186 (2009). [42] L Tang, M Q Cheng, Q Chen, T Huang, K Yang, W Q Huang, W Hu, G F Huang, Ul- trahigh sensitivity and selectivity of pentagonal SiC2 monolayer gas sensors: The synergistic effect of composition and structural topology, Phys. Status Solidi B 257, 1900445 (2020). 130003-9 https://doi.org/10.1021/acs.nanolett.6b01536 https://doi.org/10.1021/acs.nanolett.6b01536 https://doi.org/10.1016/j.carbon.2019.02.042 https://doi.org/10.1016/j.carbon.2016.12.054 https://doi.org/10.1016/j.carbon.2016.12.054 https://doi.org/10.1186/s11671-018-2687-y https://doi.org/10.1016/j.apsusc.2018.11.072 https://doi.org/10.1016/j.apsusc.2018.11.072 https://doi.org/10.1039/C7CP00029D https://doi.org/10.1039/C7CP00029D https://doi.org/10.1039/C7CP03404K https://doi.org/10.1039/C7CP03404K https://doi.org/10.1063/1.5035385 https://doi.org/10.1016/j.physe.2019.113572 https://doi.org/10.1016/j.physe.2019.113572 https://doi.org/10.1016/j.jpcs.2020.109528 https://doi.org/10.1016/j.jpcs.2020.109528 https://doi.org/10.1016/j.orgel.2018.05.039 https://doi.org/10.1016/j.orgel.2018.05.039 https://doi.org/10.1016/j.physo.2020.100014 https://doi.org/10.1063/1.3409870 https://doi.org/10.1063/1.3409870 https://doi.org/10.1103/PhysRevB.63.245407 https://doi.org/10.1103/PhysRevB.63.245407 https://doi.org/10.1103/PhysRevB.65.165401 https://doi.org/10.1103/PhysRevB.65.165401 https://doi.org/10.1088/0957-4484/13/2/312 https://doi.org/10.1088/0957-4484/13/2/312 https://doi.org/10.1016/j.commatsci.2014.02.025 https://doi.org/10.1016/j.commatsci.2014.02.025 https://doi.org/10.1103/PhysRevLett.77.3865 https://doi.org/10.1002/chem.200800987 https://doi.org/10.1002/chem.200800987 https://doi.org/10.1002/pssb.201900445 Introduction Computational Methods Results and Discussion Structure Stability Parameters of structures Electronic Properties Transport Properties Conclusions