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Abstract

SF₆/N₂ gas mixture decomposition components can reflect the operation status inside GIS, and be used for fault diagnosis and monitoring inside GIS. NF₃ and N₂O are the characteristic decomposition components of SF₆/N₂ mixed gas. In order to find a potential gas sensitivity material for the detection of NF₃ and N₂O. This paper investigated the adsorption properties of NF₃ and N₂O on Al- and Ga- doped graphene monolayers based on density functional theory. Through the analysis of adsorption distance, charge transfer, adsorption energy, energy band structure, etc., the results indicated that the adsorption effect of Al- and Ga-doped graphene to NF₃ and N₂O are probably good, and these nanomaterials are potential to apply for the monitoring of GIS internal faults.

1. Introduction

SF₆ has been extensively adopted for high-voltage gas insulation devices due to its superb arc extinguishing and insulation abilities. However, it has a strong greenhouse effect [1–3]. Concurrently, the addition of N₂ can greatly reduce the use of SF₆ gas without significantly affecting the insulation performance, which is of great importance in achieving energy conservation and emission reduction [4–7]. However, SF₆/N₂ mixed gas under partial discharge (PD) or partial overheating conditions will produce gases such as NF₃, SO₂, CO₂, and N₂O [8]. It is a feasible technical method to comprehend the fault diagnosis of SF₆/N₂ mixed gas insulation equipment by monitoring this characteristic component decomposition information.

As the research hotspot of gas sensing materials in the sensor field, graphene has become an irreplaceable material with its ultrahigh electron mobility and specific surface area (SSA), along with superb mechanical characteristics [9–12]. Compared to other sensing materials, the following documents are available. According to He et al. C₂H₂ gas was analyzed for its sensing properties as well as electronic characteristics on diverse boron nitride nanotubes-modified transition metal oxide (Fe₂O₃, TiO₂, and NiO) nanoparticles [13]. It was found that the conductivity of C₂H₂ gas on the three transition metal oxides and modified boron nitride nanotubes was different, especially on Fe₂O₃ and TiO₂. In his studies of the gas sensing properties of single-walled carbon nanotubes doped with gold atoms for SO₂ and H₂S. Chen et al. found that SO₂ and H₂S have good adsorption properties on gold doped single-walled carbon nanotubes [14]. Syaahiran et al. implemented the DFT method to analyze CO, H₂S, and H₂ for their gas sensing performances on (WO₃) $n$ ( $n = 2 - 4$ ) doped Cr [15]. The results indicate that when compared with undoped clusters (WO₃) $n$ ( $n = 2 - 4$ ), the energy gap of chromium-doped tungsten oxide clusters decreases ( $Cr W_{n - 1} O_{3 n}$ ) ( $n = 2 - 4$ ), the reactivity increases and the stability is improved. Syaahiran et al. studied the interaction of CO gas on chromium doped-tungsten oxide/graphene composites [16]. From the energy gap, surface activity, and binding energy, it is found that chromium-doped tungsten oxide/graphene composite has a strong adsorption effect on CO.

Many scholars have studied the gas sensors of atom doped graphene, such as Mn, Pd, and Pt, to better study the interaction between graphene materials and gas molecules and to explore the gas-sensing characteristics of gases onto doped and intrinsic graphene surfaces. Gui et al. through DFT calculation, studied adsorption properties for typical oil soluble gases (C₂H₂, CH₄, and CO) in transformers by doping Mn atoms at graphene bridge sites [17]. The gas sensing mechanism was analyzed by using the density of states (DOS) and molecular orbital theory. As a result, manganese-doped graphene was the potential gas-sensing substance in the detection of CO and C₂H₂. According to the literature, gas adsorption is more evident due to the doping of transition metals [18]. It is confirmed that doped graphene shows better gas sensing performance than intrinsic graphene, and metal doping remarkably enhances graphene chemical activity and adsorption performance.

According to above-mentioned, this paper studies the gas sensitivity of Al-doped Gra and Ga-doped Gra to NF₃ and N₂O gas molecules based on DFT. This work will guide the manufacturing of gas sensors and provide basic gas sensitivity information, as well as aluminum-doped graphene or gallium-doped graphene as a potential candidate for resistance chemical sensors for GIS internal fault diagnosis.

2. Computational Details

The present work conducted first-principle calculation by Dmol³ quantum chemistry module from Materials Studio [19–21]. Perdew Burke ernzerho (PBE) function of the generalized gradient approximation (GGA) is used for managing the electron exchange relation [22]. Besides, double numerical plus polarization (DNP) is selected to be the atomic orbital basis group. The maximum atomic displacement, energy convergence accuracy, orbital tailing, and maximum force are set to 5 × 10^-3 Å, 1.0 × 10^-5 Ha, 0.005Ha, and 0.05 eV/Å, respectively [23, 24]. Also, to ensure precision in calculating total energy, this work established global orbital cut-off radius and self-consistent field error at 4.5 Å and 1.0x10^-6Ha, respectively, Additively, a 2 × 2 × 1 Brillouin $k$ -point grid space was set [25, 26]. Dispersion force was controlled by using DFT-D (Grimme) approach, and the charge transfer amount ( $Q_{d}$ ) in the adsorption process was determined based on the Hirshfield approach [16, 27]. The total charge number $Q_{d} > 0$ , represents the transfer of electrons to the doped graphene surface from gas molecules, and the negative value stands for the opposite electron transfer path. Further, the definition of adsorption energy ( $E_{a d}$ ) is shown in [28]: $\begin{matrix} (1) & E_{a d} = E_{X - Graphene / gas} - E_{X - Graphene} - E_{gas} . \end{matrix}$

$E_{X - Graphene / gas}$ , $E_{X - Graphene}$ , $E_{gas}$ represent energy of gas adsorption on metal doped graphene, the energy of an Al-doped graphene and Ga-doped graphene surface, and Energy of gas, respectively. Generally, $E_{a d}$ > 0 means that the adsorption process does not occur automatically, while $E_{a d}$ < 0 means that the adsorption process is automatic [29].

3. Results and Discussion

3.1. The Optimization of Al-Doped Graphene, Ga-Graphene, NF₃, and N₂O

Firstly, the adsorption characteristics of the aluminum and gallium atoms onto the graphene surface are discussed through the formation energy ( $E_{form}$ ). Aluminum and gallium atoms $E_{form}$ moving onto the graphene surface is defined in [30]: $\begin{matrix} (2) & E_{form} = E_{X - Graphene} - E_{X} - E_{Graphene} . \end{matrix}$

$E_{X - Graphene}$ , energy after doping graphene into aluminum and gallium; $E_{X}$ and $E_{Graphene}$ are the initial energies of aluminum, gallium, and graphene substrates, respectively. We considered the doping configurations of the top, bridge, heart, and replacement sites. By comparing the formation energies of different doping structures in Table 1, we found that the configuration of the replacement site is the most stable.

Table 1

Formation energy of Al- and Ga-doped Gra at T, B, H, and R sites.

Configuration	Top(T)	Bridge(B)	Heart(H)	Replacement(R)
$E_{A l - form}$ (eV)	-1.058	-0.835	-1.093	-1.253
$E_{G a - form}$ (eV)	-1.236	-1.034	-1.025	-1.076

Figure 1 presents optimal geometry for aluminum-doped graphene, gallium-doped graphene, NF₃, and N₂O, with bond angle and bond length being expressed as $°$ and $\overset{̊}{A}$ , respectively. According to Figure 1(a), the aluminum-doped graphene surface is composed of (4 × 4 × 1) supercells with a 20 Å( $1 Å = 10^{- 10} m$ ) vacuum layer for reducing the interaction of neighboring clusters and for preventing interactions between planes resulting from periodic boundary conditions [31]. The optimal top view for aluminum-doped graphene exhibit in Figure 1(b). The bond length between the Al and the surrounding three carbon atoms is 1.746 Å, which is increased by 0.321 Å compared with the carbon-carbon before doping, since aluminum has a larger atomic orbital radius than carbon. The ∠C1-Al-C2 is 120°, which remained unchanged from that before doping. The optimal top view for gallium-doped graphene is shown in Figure 1(c). Optimal N₂O and NF₃ gas molecules structures are shown in Figures 1(d) and 1(e).

Figure 1

Geometry optimization structure of Al- and Ga-doped graphene, N₂O, and NF₃ ((a) side view of Al-doped graphene; (b) top view of Al-doped graphene; (c) top view of Ga-doped graphene; (d) N₂O; (e) NF₃).

(b)

(c)

(d)

(e)

Figure 2 shows the TDOS for graphene, Al- and Ga-doped graphene. The structural properties of doped-graphene are further analyzed through TDOS. Contrast undoped graphene, it is known that the charge distribution of TDOS increases remarkably near the Fermi level after doping aluminum and gallium relative to intrinsic graphene, suggesting that aluminum and gallium doping enhances graphene structure conductivity.

Figure 2

The TDOS configuration of graphene, Al- and Ga-doped Graphene.

The band structure of intrinsic graphene is shown in Figure 3(a). It can be seen from the figure that the valence band and conduction band are almost tangent at the Fermi energy level, and the band gap is 0.005 eV, approaching 0 eV. However, after doping aluminum atoms, as shown in Figure 3(b), the valence band moves up and intersects with the $E_{f}$ . After doping, the band gap of graphene has obviously increased, which is 0.227 eV. At the same time, a new energy level has been introduced near the $E_{f}$ , indicating that the electrical and physical properties of graphene have changed significantly due to the doping of aluminum atoms as shown in Figure 3(c). Doped gallium atoms have similar properties. The influence of aluminum-doped graphene and gallium-doped graphene on gas adsorption characteristics needs to be further studied.

Figure 3

The band structure of undoped graphene, Al- and Ga-Graphene ((a) Undoped Graphene; (b) Al-Graphene; (c) Ga-Graphene).

(b)

(c)

3.2. The Adsorption Properties of NF₃ on Aluminum-Doped Graphene

Different original approach sites for NF₃ on aluminum doped sites were calculated for obtaining adsorption structure with the highest stability to further analyze the adsorption characteristics of aluminum-doped graphene on target gas. A characteristic adsorption structure is obtained following optimization. Figure 4 shows its top view and side view. Table 2 displays the charge transfer and adsorption energy, together with structural parameters.

Figure 4

Adsorption configuration of NF₃ adsorbed on Al-Graphene: (a) top view; (b) side view.

(b)

Table 2

The E_ad, Q_t, and structural parameters of the NF₃ adsorbed on Al-Graohene.

Configuration	$E_{ad}$ (eV)	Q_t(e)	d_F1-Al(Å)	d_F1-N(Å)	∠F1-N-F2(°)	∠F2-N-F3(°)
F1-Al-Gra	-1.476	0.291	1.689	3.072	75.591	103.457

As observed from the adsorption structure in (Figures 4(a) and 4(b)). The bond length formed by A1-F1 is 1.689 Å, and the number of electrons transferred from aluminum-doped graphene surface onto NF₃ reaches 0.291e. Noteworthily, the NF₃ structure alters the following adsorption, among them, the F1-N bond length increases to 3.072 Å, and the angle of F1-N-F2 becomes 75.591°. The $E_{a d}$ of NF₃ onto aluminum-doped graphene surface reaches -1.476 eV. From the perspective of electron transfer and $E_{g}$ , the reaction of NF₃ gas is strongest when F atom is close to the aluminum-doped graphene surface.

Figure 5(a) shows the TDOS for NF₃ on aluminum-doped graphene surface. The TDOS showed significant changes at -14 eV, -9.2 eV, -7.3 eV, -5.4 eV, -3.4 eV, and other positions when compared with the nonadsorbed gas. Due to the outermost electrons of atoms contributing the most during adsorption, just PDOS for Al-3p, F-2p, and N-2p is discussed. From the PDOS in Figure 5(b), we can see that for the above orbitals, their overlapped peaks can be seen at approximately, -9.3 eV, -7.3 eV, -3.9 eV, Fermi level, and 5.2 eV. PDOS and TDOS analyses implicit that there are great interaction between NF₃ and aluminum-doped graphene.

Figure 5

TDOS before and after NF₃ adsorption and PDOS of the main interacting atoms ((a) TDOS; (b) PDOS).

(b)

Figure 6 displays the difference in electron density of NF₃ adsorbed onto aluminum-doped graphene surfaces from different sides, in which the red and blue areas indicate elevated and declined electron density, respectively. The post-gas adsorption charge distribution is analyzed intuitively based on the difference in electron density. From Figure 6, it shows that the red area around the F atom shows that electrons are received, while the blue area around the N atom, Al atom, and C atom indicates that electrons are lost due to the reduction in electron density. Gas molecules are suggested to play the role of electron acceptors, while Al-Graphene is the electron donors. Therefore, NF₃ molecules bring drastic changes in electron density to the surface of aluminum-doped graphene.

Figure 6

The charge difference density of NF₃ adsorbed on Al-Graphene ((a) F1 and F2 atom section; (b) F3 atom section).

(b)

Collectively, based on the structural parameters of DOS, adsorption energy, and charge transfer, together with the difference in NF₃ electron density adsorbed on aluminum-doped graphene, it is obvious that the interaction between NF₃ and aluminum-doped graphene is very severe.

The band structure of aluminum-doped graphene without adsorbed gas exhibit in Figure 7(a). Figure 7(b) exhibit the band structure of NF₃ molecules adsorbed on aluminum-doped graphene surface. From above, it is known that the band structure of aluminum-doped graphene has an obvious band gap near the $E_{f}$ , and a new energy level is introduced at the $E_{f}$ . Moreover, a lot of new energy levels have been added in the valence band. It can be determined that the generation of the new energy level is due to the adsorption of gas on the surface.

Figure 7

The band structure of Al-Graphene and NF₃ adsorption on Al-Graphene ((a) Al-Graphene; (b) NF₃-F-Al-Graphene).

(b)

3.3. The Adsorption Properties of N₂O on Aluminum-Doped Graphene

Gas molecules approach the aluminum-doped graphene surface with different atoms for the adsorption of N₂O. 3 characteristic adsorption structures are acquired following geometric optimization, according to Figure 8, the parameters of the above configurations are exhibited in Table 3. Figures 8(a) and 8(b) exhibits top and side view for M1 configuration. N₂O is close to the doped surface with an N1 atom, and the $d_{a d s}$ is 2.035 Å. The N1-N2 bond length of N₂O adsorbed on the surface reaches 1.142 Å, with the 1.180 Å N2-O bond length. The bond angle does not change, which is not different from the free N₂O molecule. Therefore, the N₂O structure shows low alterations in adsorption. In M1 configuration, adsorption energy is -1.376 eV, with the transfer of 0.238 e onto aluminum-doped graphene surface from the gas molecule, indicating the strong interaction between N₂O and aluminum-doped graphene surface.

Figure 8

Adsorption configuration of N₂O adsorbed on Al-Graphene ((a) M1 top view; (b) M1 side view; (c) M2 top view; (d) M2 side view; (e) M3 top view; (f) M3 side view).

(b)

(c)

(d)

(e)

(f)

Table 3

The E_ad, Q_t, and structural parameters of the N₂O-adsorbed Al-Graphene.

Configuration	$E_{ad}$ (eV)	Q_t(e)	d_ads(Å)	d_N1-N2(Å)	d_N2-O(Å)
M1	-1.376	0.238	2.035	1.143	1.180
M2	-1.407	0.212	2.080	1.148	1.180
M3	-1.240	0.204	2.157	1.214	1.133

Figures 8(c) and 8(d) exhibits side and top view for M2 configuration. N₂O is close to the doped surface with an N2 atom, and the $d_{a d s}$ is 2.080 Å. Based on structural parameters observed in Table 3, the N₂O structure has low alterations before and after adsorption. M2 configuration has adsorption energy of -1.407 eV, which indicates that the M2 configuration is more stable than M1. In addition, the transfer of 0.212e onto aluminum doped graphene surface from gas molecules is detected in the M2 configuration, with the charges transferred from N1, N2, and O atom being 0.247 e, -0.004 e, and 0.031 e, respectively.

The side and top views for the M3 configuration are displayed in Figures 8(e) and 8(f). N₂O is close to the doped surface with the O atom, and the $d_{a d s}$ is 2.157 Å. The N1-N2 bond length of N₂O adsorbed onto aluminum-doped graphene surface reaches 1.214 Å, which is slightly longer than the N1-N2 bond (1.141 Å) of free N₂O molecules. The charge transfer in the M3 configuration is 0.204 e, which significantly increases relative to M1/M2 configuration. However, according to parameters observed in Table 3, the bond angle and bond length changed a little after adsorption, and the adsorption energy was -1.240 eV, which was slightly decreased when compared with the M2 configurations. In conclusion, this was based on great adsorption energy between N₂O and M2 configurations, and therefore, the M2 system may exhibit the highest stability. For better verification, this work also analyzed the difference in electron density and DOS.

TDOS for M2 configuration is exhibited in Figure 9(a). When N₂O molecules are adsorbed onto an aluminum-doped graphene surface, there are obvious changes around -12.07 eV, -11.01 eV, -5.71 eV, and 0.89 eV. Due to the outermost electrons of atoms contributing the most to adsorption, this work only analyzes PDOS for Al-3p, N-2p, and O-2p. From PDOS observed in Figure 9(b), N-2p together with O-2p orbital peaks coincide around -12.15 eV, -10.97 eV, -10.25 eV, -5.62 eV, and 0.86 eV. According to PDOS, potent chemisorption of N₂O with aluminum-doped graphene was seen. At the same time, considering that the N-2p orbital contributes the most to the adsorption process, the N₂O adsorption structure shows extremely high stability within the M2 configuration.

Figure 9

TDOS before and after N₂O adsorption and PDOS of the main interacting atoms ((a) TDOS; (b) PDOS).

(b)

The difference in electron density of M2 configuration is exhibited in Figure 10. Red and blue areas stand for elevated and declined electron densities, respectively. O and N1 receive charge in the adsorption process, and the charge close to the N2 atom declines. There is also an increase in electron density on the aluminum-doped graphene surface. According to the distribution on electron density, N₂O gets electrons.

Figure 10

The charge difference density of N₂O adsorbed on Al-Graphene.

The band structure of aluminum-doped graphene without adsorbed gas exhibit in Figure 11(a). Figure 11(b) shows the band structure of N₂O molecules adsorbed on aluminum-doped graphene surface. It can be seen that after adsorbing N₂O, the energy gap of aluminum doped graphene decreases, the conduction band near the Fermi level becomes more smooth, and introduced new energy levels. Accordingly, the density of states near the $E_{f}$ increases greatly.

Figure 11

The band structure of Al-Graphene and N₂O adsorption on Al-Graphene ((a) Al-Graphene; (b) N₂O-N-Al-Graphene).

(b)

3.4. Prediction of Desorption of Aluminum-Doped Graphene

The decomposed components of SF₆/N₂ mixed gas can be desorbed from the sensing material surface under heating conditions. The $E_{a d}$ and $d_{a d s}$ distance of NF₃ and N₂O on aluminum-doped graphene surface are exhibited in Tables 2 and 3, 375 K, 575 K, and 757 K are the temperature gradient of the desorption time of the sensing material. The desorption time is related to the adsorption energy and temperature, as shown in [32, 33]: $\begin{matrix} (3) & ε = A^{- 1} \exp (‐ E_{a d} / R T) . \end{matrix}$

In which, $A$ is the trial frequency of the system, generally 10¹² s^-1 [34], $E_{a d}$ is the adsorption energy of NF₃ and N₂O on aluminum-doped graphene surface, $R$ : a constant, eV/K, $T$ is the temperature (unit: K).

The desorption time of NF₃ and N₂O gas molecules at 375 K, 575 K, and 775 K is shown in Figure 12. The optimal desorption time of NF₃ molecule at 775 K is $3.94 \times 10^{- 3} s$ , and the desorption time of the whole system increases with the decrease of temperature, and the maximum recovery time is $6.77 \times 10^{7} s$ . The desorption time of N₂O molecule in the system is shorter than that of NF₃ molecule. At 375 K and 775 K, the recovery time is $8.01 \times 10^{6} s$ and $1.40 \times 10^{- 3} s$ , respectively.

Figure 12

Desorption time at different temperatures.

3.5. Adsorption of NF₃ and N₂O Gases on Gallium-Doped Graphene

Since the number of outermost electrons of Ga atom is the same as that of Al atom, the doping of Ga atom is also considered. Its adsorption mode is the same as that of Al doped graphene, so only consider that NF₃ molecules are close to Ga-doped graphene as F atoms, and N₂O molecules are close to Ga-doped graphene as N atoms. As shown in Figures 13(a) and 13(b), NF₃ molecules are adsorbed on Ga-doped graphene surface, the $d_{a d s}$ is 1.801 Å, and the electron transformation is 0.287 e. As shown in Figures 13(c) and 13(d), N₂O is adsorbed on Ga-doped graphene surface, the $d_{a d s}$ is 2.285 Å, and the electron transformation is 0.227 e. It can be seen from Table 4 that the adsorption energy of both gases is less than that on Al-doped graphene surface. The adsorption parameters show that there is a good reaction between NF₃ and N₂O molecules on Ga-doped graphene surface.

Figure 13

The adsorption configuration of NF₃ and N₂O adsorbed on Ga-Graphene ((a) X1 top view; (b) X1 side view; (c) X2 top view; (d) X2 side view).

(b)

(c)

(d)

Table 4

The E_ad, Q_t, and structural parameters of the NF₃ and N₂O adsorbed on Ga-Graphene.

Configuration	$E_{ad}$ (eV)	Q_t(e)	d_ads(Å)
X1	-1.356	0.287	1.801
X2	-1.280	0.227	2.285

As shown in Figures 14(a)–14(d), it is the TDOS and PDOS of NF₃ and N₂O on Ga-doped graphene surface. For NF₃ molecule, a new peak appears at the $E_{f}$ of PDOS, which is contributed by NF₃ molecule, where the 2p orbital of N atom, the 2p orbital of F atom, and the 3p orbital of Ga atom are coupled. For N₂O molecule, it can be seen from the PDOS diagram that there is no new peak at the $E_{f}$ , and a fresh peak occur in the conduction band region, and it hybridizes with the 3p orbital of Ga atom, indicating that N₂O molecule has a strong interaction with Ga-doped graphene.

Figure 14

The density of states configuration of NF₃ and N₂O adsorbed on Ga-Graphene ((a) NF₃-TDOS; (b) NF₃-PDOS; (c) N₂O-TDOS; (d) N₂O-PDOS).

(b)

(c)

(d)

Figures 15(a) and 15(b) shows the charge difference density of NF₃ and N₂O on Ga-doped graphene, respectively. It can be seen that after the adsorption of NF₃ and N₂O, the color near F atom turns red, indicating that the charge increases, and the color near N atom turns blue, indicating that the charge decreases. The charge near N1 atom and O atom in N₂O molecule increases, and the electron concentration near N2 atom and graphene surface decreases, indicating that the gas obtains charge.

Figure 15

The charge difference density of NF₃ and N₂O adsorbed on Ga-Graphene ((a) the charge difference density of NF₃ adsorbed on Ga-Graphene; (b) the charge difference density of N₂O adsorbed on Ga-Graphene).

(b)

4. Conclusions

The adsorption characteristics of NF₃ and N₂O molecules on Al- and Ga-doped graphene surfaces were studied in this paper, for the sake of finding the resistance chemical sensor material for GIS internal fault diagnosis. Among them, the most likely adsorption mode of NF₃ molecule is that F atom is close to Al-doped graphene. They have large charge transfer and $E_{a d}$ , short $d_{a d s}$ , and strong interaction. The most likely adsorption mode of N₂O molecules on Al-doped graphene is M2 mode, which is close to the N atom. From the adsorption parameters obtained, it can be seen that there is also a very strong interaction between N₂O molecules and Al-doped graphene. As Ga atom and Al atom belongs to the same family of elements, the simulation of Ga atom is also carried out. The results show that the adsorption parameters of Ga-doped graphene and Al-doped graphene are similar, and Ga-doped graphene may also be a sensing material.

The present work sheds more light on the association of characteristic decomposition components of SF₆/N₂ gas mixture and Al- and Ga-doped graphene, and provides the theoretical foundation to adsorb characteristic decomposition components in SF₆/N₂ gas mixture onto Al- and Ga-doped graphene.

Footnotes

Conflicts of Interest

The authors declare that they have no conflicts of interest.

Acknowledgments

The authors would like to acknowledge the support of Science and Technology Research Program of Chongqing Municipal Education Commission (Grant No. KJZD-K202001505, KJQN202001503) and the Graduate Science and Technology Innovation Project of Chongqing University of Science and Technology (Grant No. YKJCX2120404).

References

Ullah

Rashid

Khan

Ali

Dielectric characteristic of dichlorodifluoromethane (R12) gas and mixture with N2/air as an alternative to SF6 gas

High Voltage 2017 2

1019746

3 205 210

10.1049/hve.2017.0047

2-s2.0-85041400214

Rabie

Franck

C. M.

An assessment of eco-friendly gases for elec-trical insulation to replace the most potent industrial greenhouse gas SF6

Environmental Science & Technology 2018 52

1019746

2 369 380

Fan

Decomposition Characteristics of SF₆ under PD & Recognition of PD Category and Calibration of Impact Factors 2013

Chongqing

Chongqing University

Dengming

Development prospect of gas insulation based on environmental protection

High Voltage Engineering 2016 42

1019746

4 1035 1046

10.1021/acs.est.7b03465

2-s2.0-85041285737

Wenjun

Zheng

Shuai

Research progress and trend of SF₆ alternative with environment-friendly insulation gas

High Voltage Apparatus 2016 52

1019746

12 8 14

Bin

Lichun

Wenxia

Leguan

SF₆ gas insulation and its global green house effect

High Voltage Apparatus 2000 36

1019746

6 23 26

Anchun

Liying

Xiao

Research and application of SF₆/N₂ mixed Gas Used in GIS Bus

Power System Technology 2018 42

1019746

10 3429 3435

Yansong

Min

Chengyu

Leguan

Detection methods and experimental study on decomposition products of SF₆/N₂ mixed gas

High Voltage Apparatus 2020 56

1019746

12 97 102

Szczesniak

Choma

Jaroniec

Effect of graphene oxide on the adsorption properties of ordered mesoporous carbons toward H₂, C₆H₆, CH₄ and CO₂

Microporous and Mesoporous Materials 2018 261

1019746

105 110

10.1016/j.micromeso.2017.10.054

2-s2.0-85032952492

10.

Zhang

Sun

Wang

Zhang

Tang

Gong

Zhang

Reversible adsorption/desorption of the formaldehyde molecule on transition metal doped graphene by controlling the external electric field: first-principles study

Applied Surface Science 2017 136

1019746

12 134

10.1007/s00214-017-2166-z

2-s2.0-85033450480

11.

Chen

Lei

Liu

L.-L.

Zhao

L. S.

Chen

C. P.

Zhang

Wang

X. C.

Adsorption of formaldehyde molecule on the pristine and transition metal doped graphene: first-principles study

Applied Surface Science 2017 396

1019746

1020 1025

10.1016/j.apsusc.2016.11.080

2-s2.0-85006826661

12.

Rad

A. S.

Adsorption of C₂H₂ and C₂H₄ on Pt-decorated graphene nanostructure: Ab-initio study

Synthetic Metals 2016 211

1019746

115 120

10.1016/j.synthmet.2015.11.031

2-s2.0-84950298384

13.

Gui

Liu

Comparison of sensing and electronic properties of C₂H₂ on different transition metal oxide nanoparticles (Fe₂O₃, NiO, TiO₂) modified BNNT (10, 0)

Applied Surface Science 2020 521, article 146463

1019746

10.1016/j.apsusc.2020.146463

14.

Qinchuan

Ziqiang

Chen

Tang

A DFT study of SO2and H₂S gas adsorption on au-doped single-walled carbon nanotubes

Physics 2014 89

1019746

6, article 065803

10.1088/0031-8949/89/6/065803

2-s2.0-84901260414

15.

Syaahiran

Lim

C. M.

Kooh

Mahadi

A. H.

Chou Chau

Y. F.

Thotagamuge

A theoretical insight of Cr dopant in tungsten oxide for gas sensor application

Materials Today Communications 2021 28

1019746

10, article 102508

10.1016/j.mtcomm.2021.102508

16.

Syaahiran

M. A.

Mahadi

A. H.

Lim

C. M.

Kooh

M. R.

Chau

Y. F.

Chiang

H. P.

Thotagamuge

Theoretical Study of CO Adsorption Interactions with Cr-Doped Tungsten Oxide/Graphene Composites for Gas Sensor Application

ACS Omega 2022 7

1019746

1 528 539

17.

Gui

Peng

Liu

Ding

Adsorption of C₂H₂, CH₄ and CO on Mn - doped graphene: Atomic, e1ectronic, and gas-sensing properties

Physica E. Low -Dimensiona 1 Systems & Nanostructures 2020 119, article 113959

1019746

10.1016/j.physe.2020.113959

18.

Sun

Zhang

Gas adsorption properties of graphene doped with Pt/Pd

Journal of Hebei Normal University 2014 38

1019746

19.

Peng

Zhao

Cui

Jiang

A theoretical study on the cyclopropane adsorption onto the copper surfaces by density functional theory and quantum chemical molecular dynamics methods

Journal of Molecular Catalysis A: Chemical 2004 220

1019746

2 189 198

10.1016/j.molcata.2004.04.044

2-s2.0-3543026875

20.

Delley

Dmol³ DFT studies: from molecules and molecular environments to surfaces and solids

Computational Materials Science 2000 17

1019746

2-4 122 126

10.1016/S0927-0256(00)00008-2

21.

Di Valentin

Pacchioni

Selloni

Livraghi

Giamello

Characterization of paramagnetic species in N-doped TiO₂ powders by EPR spectroscopy and DFT calculations

The Journal of Physical Chemistry. B 2005 109

1019746

23 11414 11419

10.1021/jp051756t

2-s2.0-21644436465

16852395

22.

Perdew

J. P.

Burke

Ernzerhof

Generalized gradient approximation made simple

Physical Review Letters 1996 77

1019746

18 3865 3868

10.1103/PhysRevLett.77.3865

2-s2.0-4243943295

23.

Perdew

J. P.

Chevary

J. A.

Vosko

S. H.

Jackson

K. A.

Pederson

M. R.

Singh

D. J.

Fiolhais

Atoms, molecules, solids, and surfaces: applications of the generalized gradient approximation for exchange and correlation

Physical Review B: Condensed Matter 1992 46

1019746

11 6671 6687

10.1103/PhysRevB.46.6671

2-s2.0-23244460838

10002368

24.

Maximof

S. N.

Ernzehof

Scuseria

G. E.

Current-dependent extension of the Perdew–Burke–Ernzerhof exchange-correlation functional

The Journal of Chemical Physics 2004 120

1019746

5 2105 2109

10.1063/1.1634553

2-s2.0-1442282184

15268348

25.

Inada

Orita

Efficiency of numerical basis sets for predicting the binding energies of hydrogen bonded complexes: evidence of small basis set superposition error compared to Gaussian basis sets

Journal of Computational Chemistry 2008 29

1019746

225 232

26.

Karim

N. A.

Kamarudin

S. K.

Shyuan

L. K.

Yaakob

Daud

W. R. W.

Khadum

A. A. H.

Novel cathode catalyst for DMFC: study of the density of states of oxygen adsorption using density functional theory

International Journal of Hydrogen Energy 2014 39

1019746

30 17295 17305

10.1016/j.ijhydene.2014.06.110

2-s2.0-84920265576

27.

Guo

Wei

Yang

Yan

Cen

Density functional theory calculations of NO₂ and H₂S adsorption on the group 10 transition metal (Ni, Pd and Pt) decorated graphene

Physica E Low Dimensional Systems & Nanostructures 2019 109

1019746

156 163

10.1016/j.physe.2019.01.012

2-s2.0-85060954331

28.

Yao

Yingang

Chang

Chao

Zhou

Jie

Xiaoxing

Adsorption of SF₆ decomposition components on Pt₃-TiO₂(1 0 1) surface: A DFT study

Applied Surface Science 2018 459

1019746

242 248

10.1016/j.apsusc.2018.07.219

2-s2.0-85050973152

29.

Hao

Xiaoxing

Jun

Tang

Adsorption behaviour of SF6decomposed species onto Pd₄-decorated single-walled CNT: a DFT study

Molecular Physics 2018 116

1019746

13 1749 1755

10.1080/00268976.2018.1451930

2-s2.0-85044442556

30.

Wei

Gui

Kang

Wang

Tang

A DFT Study on the Adsorption of H₂S and SO₂ on Ni Doped MoS₂ Monolayer

Nanomaterials 2018 8

1019746

9 646

10.3390/nano8090646

2-s2.0-85052622440

31.

Wei

Chao

Jufang

Gui

Micro-scale effects of nano-SiO₂ modification with silane coupling agents on the cellulose/nano-SiO₂ interface

Nanotechnology 2019 30

1019746

44 1361 6528

32.

Patel

Roondhe

Dabhi

S. D.

Jha

P. K.

A new flatland buddy as toxic gas scavenger: a first principles study

Hazardous Mater 2018 351

1019746

337 345

10.1016/j.jhazmat.2018.03.006

2-s2.0-85044009016

29558657

33.

Zhang

Y. H.

Chen

Y. B.

Zhou

K. G.

Liu

C. H.

Zeng

Zhang

H. L.

Peng

Improving gas sensing properties of graphene by introducing dopants and defects: a first-principles study

Nanotechnology 2009 20

1019746

18, article 185504

10.1088/0957-4484/20/18/185504

2-s2.0-65549101628

19420616

34.

Peng

Cho

Dai

Ab initio study of CNT NO₂ gas sensor

Chemical Physics Letters 2004 387

1019746

4-6 271 276

10.1016/j.cplett.2004.02.026

2-s2.0-1642350196

Adsorption Properties of NF 3 and N 2 O on Al- and Ga-Doped Graphene Surface: A Density Functional Theory Study

Abstract

1. Introduction

2. Computational Details

3. Results and Discussion

3.1. The Optimization of Al-Doped Graphene, Ga-Graphene, NF3, and N2O

3.2. The Adsorption Properties of NF3 on Aluminum-Doped Graphene

3.3. The Adsorption Properties of N2O on Aluminum-Doped Graphene

3.4. Prediction of Desorption of Aluminum-Doped Graphene

3.5. Adsorption of NF3 and N2O Gases on Gallium-Doped Graphene

4. Conclusions

Footnotes

Conflicts of Interest

Acknowledgments

References

3.1. The Optimization of Al-Doped Graphene, Ga-Graphene, NF₃, and N₂O

3.2. The Adsorption Properties of NF₃ on Aluminum-Doped Graphene

3.3. The Adsorption Properties of N₂O on Aluminum-Doped Graphene

3.5. Adsorption of NF₃ and N₂O Gases on Gallium-Doped Graphene