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Article

Adsorption and Gas-Sensing Properties of Agn (n = 1–4) Cluster Doped GeSe for CH4 and CO Gases in Oil-Immersed Transformer

1
Qinhuangdao Vocational and Technical College, Qinhuangdao 066100, China
2
College of Engineering and Technology, Southwest University, Chongqing 400715, China
*
Author to whom correspondence should be addressed.
Nanomaterials 2022, 12(23), 4203; https://doi.org/10.3390/nano12234203
Submission received: 4 November 2022 / Revised: 21 November 2022 / Accepted: 25 November 2022 / Published: 26 November 2022
(This article belongs to the Special Issue Nanomaterials for Sensors, Actuators and Environmental Applications)

Abstract

:
The adsorption mechanism of CO and CH4 on GeSe, modified with the most stable 1–4 Ag-atom clusters, is studied with the help of density functional theory. Adsorption distance, adsorption energy, total density of states (TDOS), projected density of states (PDOS), and molecular orbital theory were all used to analyze the results. CO was found to chemisorb exothermically on GeSe, independent of Ag cluster size, with Ag4-GeSe representing the optimum choice for CO gas sensors. CH4, in contrast, was found to chemisorb on Ag-GeSe and Ag2-GeSe and to physisorb on Ag3-GeSe and Ag4-GeSe. Here, Ag GeSe was found to be the optimum choice for CH4 gas sensors. Overall, our calculations suggest that GeSe modified by Ag clusters of different sizes could be used to advantage to detect CO and CH4 gas in ambient air.
Keywords:
Agn-GeSe; adsorption; DFT; CH4; CO

1. Introduction

The oil-immersed transformer has been widely used in the modern power system due to its low cost and high power conversion efficiency [1]. Transformer insulation oil is mainly alkanes, cycloalkanes, saturated hydrocarbons, aromatic unsaturated hydrocarbons, and their compounds [2,3,4]. However, during a long service period, a transformer may inevitably suffer from local overheating and partial discharge faults [5,6]. These faults threaten the safety of the entire electrical system because the huge heat and strong distorted electrical field released by the faults may lead to the rupture of the C-C bond and C-H bond of the insulating oil medium, resulting in the generation of activated hydrogen and unstable hydrocarbon free radicals [7,8,9]. With the existence of impurities (H2O and O2) in the transformer, various decomposition products are dissolved in oil products, such as H2, CH4, CO, CO2, C2H2, and C2H6 [10,11,12]. Decomposition product detection is an effective method for online monitoring of transformer faults [13,14]. Since CO and CH4 are two typical gases in transformer faults, the condition of a transformer can be predicted by analyzing the concentrations of these two gases [15,16,17]. Due to the low cost and portability of gas sensors, it has been widely used in various fields, including electric power online monitoring [18,19]. Therefore, the gas sensor-based detection of CO and CH4 could be a potentially effective means to realize fault detection in transformers [20].
In recent years, GeSe has been widely used in gas-sensing materials because it has a large specific surface area and abundant hole structure [21,22]. More resistant to oxidation and more stable at high temperatures than carbon nanotubes, GeSe is therefore more suitable for gas detection than carbon nanotubes [23,24]. As a result, it is one of the most widely used materials in high temperature and high pressure environments [25]. Gui et al. studied the adsorption behavior of CO, CH4, C2H2, C2H4 on metal oxide (CuO, NiO, Ag2O)-doped GeSe surfaces; Guo et al. investigated the adsorption characteristics of C2H2, CH44, H2 on SnO2-GeSe (SnO2 doped onto GeSe surfaces) [26,27]. However, the ability of intrinsic GeSe to adsorb gases is limited, such as CH4, C2H2, H2, etc., [12,28]. Doping of metal clusters is a common method of material surface modification, which improves gas detection accuracy and adsorption capacity by changing the energy gap of gas sensors. [29,30]. Among the most used metal clusters (Pd, Pt, Au, Ag, Ni) and other metal elements, doping brings good adsorption characteristics and adsorption capacity [31,32,33,34,35,36]. Silver metal has been widely studied in doping modification because of its good physical properties. W.A et al.’s application of Ag doping shows that Ag has a good modified adsorption function and can bring better adsorption capacity to the substrate [37]. In this paper, GeSe was doped with Ag clusters to enhance the gas-sensitive response to CH4 and CO.
In this paper, the Ag cluster-modified GeSe is proposed as a promising sensing material for monitoring transformer faults. First, the most stable doping structures of 1–4 Ag atoms on GeSe (Agn-GeSe) were optimized. Then, the most stable structures were chosen to adsorb the gas molecules. The Ag clusters’ doping and gas adsorption mechanisms were analyzed. By analyzing the structure optimization, adsorption energy, band gap, the density of states (DOS), and charge transfer, it was found that the Ag cluster-modified GeSe sensor with high detection response and detection speed has great potential to become a new type of resistive gas sensor. This study provides a new monitoring method and way for the gas insulation monitoring of decomposing components in oil.

2. Computational Details and Methods

All calculations were performed based on the density functional theory (DFT) [33,38]. A generalized gradient approximation (GGA) was used to calculate the electron exchange and correlation energy [39,40]. The Perdew–Burke–Ernzerhof (PBE) function was used to calculate the interaction effect between electrons [41]. The DFT-based semi-core pseudopotential (DSPP) and double numerical plus polarization (DNP) were selected [42]. The self-consistent field convergence precision was set to 1 × 10−6 Ha. The energy convergence accuracy, maximum stress, and max displacement were set as 1 × 10−5 Ha, 2 × 10−3 Ha/Å, and 5 × 10−3 Ha, respectively [43,44]. Since Agn-GeSe is not magnetic, the spin polarization is limited during structural optimization [45]. A k-point grid of 5 × 5 × 1 was selected for the Brillouin zone integration to obtain accurate energies and structures [46]. In the solvent model, the dielectric constant was set to 2.2 to simulate the insulating oil model. To avoid layer-to-layer interactions, we constructed a 4 × 4 × 1 single nanotube supercell containing 32 Se atoms and 32 Ge atoms for DFT calculations. The distance between layers was greater than 25 Å.
As defined in Equation (1), the adsorption energy represents the energy change in the adsorption process and can be analyzed to find the most stable structure of gas adsorption. If the adsorption energy is negative, it means that the reaction is exothermic and occurs spontaneously. Charge transfer (QT) was obtained by Mulliken population analysis. As defined in Equation (2), Qads and Qiso, respectively, represent the net carried charges of the gas molecule after and before adsorption. A positive QT shows that electrons transfer from the gas molecule to the Agn-GeSe monolayer. The energy gap between the highest occupied orbit (HOMO) and the lowest unoccupied orbit (LUMO) is defined in Equation (3). The total density of states (TDOS) and projected density of states (PDOS) were analyzed in detail to analyze the mechanism of the adsorption process.
Eads = EAgn-GeSe/gas − EAgn-GeSe − Egas
QT = Qads − Qiso
Eg = |EHOMO − ELUMO|

3. Results and Discussion

3.1. Geometry Optimization

In order to study the gas adsorption characteristics of GeSe, the top view and side view of GeSe were obtained through modeling, as shown in Figure 1. The structures of CO and CH4 molecules were obtained as shown in Figure 1c,d. The bond lengths between Ge and Se were 2.543 Å (longitudinal) and 2.612 Å (transverse). The reason why the transverse distance is larger than the longitudinal distance is that Ge bonds with two transverse Se atoms, while the longitudinal one bonds with only one Se atom, making the longitudinal Se atom more stable and the longitudinal bond length shorter. The CO molecule is a linear structure with a bond length of only 1.142 Å. The CH4 molecule is a regular tetrahedral structure, and it is a stable gas molecule in air. The bond length of each C-H bond is 1.096 Å, and the bond angle is 109.480°.
Figure 2 shows the most stable structure of Agn-GeSe obtained by doping one to four Ag atoms. The doping distance is 2.499 Å, 2.539 Å, 2.680 Å, and 2.702 Å for 1–4 Ag atoms modified GeSe. Based on the Mulliken population, the four types of Ag cluster act as electron acceptors obtaining 0.048 e, 0.184 e, 0.206 e, and 0.288 e electron from GeSe, respectively. The redistribution of electric charge leads to the change of conductivity of the system.
As shown in Figure 3, TDOS and PDOS were analyzed to further analyze the doping mechanism of Ag atom doping on GeSe. The peak values of the TDOS of the four Ag cluster-doped GeSe bases shift to the left obviously, which makes the Fermi level continuous. Figure 3(a2–d2) shows the PDOS of GeSe doped with four types Agn-GeSe. The analysis of PDOS showed that the peak value above the Fermi level shifted to the left due to the hybridization of Ag-4d, Se-4p, and Ge-4p orbits, thus improving the conductivity of the system. It can be seen from Figure 3(a1,a2) that the hybridization of Ag-4d and Se-4p orbits in one Ag atom doping system from −4.0 eV to −6.0 eV resulted in a significant increase in TDOS at −5.0 eV. It can be seen from Figure 3(b1,b2) that the Ag-4d and Se-4p orbits of double Ag atoms doping system hybridized at −1.0 eV~−2.0 eV, resulting in a significant increase in TDOS at −1.5 eV. Figure 3(c1,c2) shows that the Ag-4d and Se-4p orbits hybridized at −3.0 eV~−4.0 eV in the triple Ag atoms doping system, resulting in a significant increase in TDOS at −4.0 eV. It can be seen from Figure 3(d1,d2) that the hybridization of Ag-4d and Ge-4p orbits of the quadruple Ag atoms doping system at −4.0 eV~−5.0 eV resulted in a significant increase in TDOS at −4.5 eV. In general, a strong orbital hybridization results in a stable Agn-GeSe structure, indicating that Ag cluster-doping on the GeSe surface is stable enough for further gas adsorption.

3.2. Analysis of CO Gas Adsorption on Agn-GeSe Surface

To study the adsorption behavior of gas molecules on Agn-GeSe, gas molecules were made to approach Ag atoms from different directions and angles. The adsorption position with the largest adsorption energy was taken as the most stable adsorption structure, and then the density of states, band structure, and molecular orbit of the adsorption structures was analyzed.
Figure 4 shows the most stable CO adsorption structure. The adsorption distances of CO on the four Agn-GeSe systems were 2.080, 2.157, 2.194, and 2.086 Å respectively, and the C-O bond was not damaged in the adsorption process. It can be seen that the adsorption ability of our Agn-GeSe systems to CO was relatively moderate, which was conducive to the subsequent desorption process, resulting in high sensitivity and reusability of the gas-sensing material. The C atom tends to adsorb on the Ag atom in the CO adsorption process.
Figure 5 shows the DOS analysis of Agn-GeSe before and after CO adsorption. It can be seen from Figure 5(a1–d1) that the peak value of TDOS shifted significantly to the left after gas adsorption, making it continuous at the Fermi level. It can be seen from Figure 5(a1,a2) that Ag-GeSe had a new peak value due to the hybridization of Ag-4d, C-2p, and O-2p from −11.0 to −12.0 eV in the CO adsorption process. In Figure 5(b1,b2), it can be seen that Ag2-GeSe had a new peak value due to the hybridization of Ag-4d, C-2p, and O-2p from −10.0 to −11.0 eV during CO adsorption. The peak of Ag3-GeSe and Ag4-GeSe was roughly the same as that of Ag2-GeSe.
The adsorption parameters of CO on the four doping structures are shown in Table 1, including adsorption distance, adsorption energy, and charge transfer. The adsorption energies of the four adsorption structures were −0.177, −0.166, −0.171, −0.193 eV. The charge transfer of the four adsorption structures during the adsorption process was 0.134, 0.105, −0.014, −0.165 e. The negative charge transfer indicates that the electron transfers from CO gas to Agn-GeSe, while the positive charge transfer indicates the transfer of electrons from Agn-GeSe to CO gas. From the moderate adsorption distance, large adsorption energy, and charge transfer, Ag4-GeSe is more suitable for CO gas adsorption.

3.3. Analysis of CH4 Gas Adsorption on Agn-GeSe Surface

Figure 6 shows the most stable CH4 adsorption structure. The adsorption distances of CH4 on 1–4 Ag atom-doped GeSe were 2.778, 2.957, 4.164, and 3.328 Å, respectively. The structure of CH4 did not change during the adsorption process. Compared with CO adsorption, the adsorption distance of CH4 was much larger. The adsorption distances of Ag3-GeSe and Ag4-GeSe to CH4 reached 4.164 and 3.328 Å, respectively. With such a large adsorption distance, it can be inferred that Ag3-GeSe and Ag4-GeSe show physical adsorption to CH4. Since the C atom is surrounded by four H atoms in the CH4 molecular structure, the H atom approaches the substrate in the adsorption process. In the four adsorption processes, C-H bonds elongate due to the effect of H-Ag bonding.
Figure 7 shows the density of states before and after CH4 adsorption on Agn-GeSe. After CH4 adsorption, the TDOS of the system moved significantly to the left, and the filling of electrons at the Fermi level increased, increasing the probability of electrons crossing the gap from the valence band to the conduction band. Therefore, the conductivity increased after CH4 adsorption. The TDOS of the four adsorption structures increased at −7.0, −6.0, −6.5 and −5.0 eV, respectively. This is mainly due to the strong hybridization of Ag-4d, H-1s, and C-2p orbits. It can be seen from Figure 7(a2,b2), that there was a strong chemical bond between CH4 and Ag. However, the narrow orbital spike in Figure 7 (c2,d2) indicated that there was no chemical bond between CH4 and Ag atoms, but only physical adsorption. The invariance of Ag3-GeSe and Ag4-GeSe at the Fermi level, and the minimal peak changes at other places also confirmed that the reaction was physical adsorption.
The adsorption parameters of CH4 on Agn-GeSe are listed in Table 2, including adsorption distance, adsorption energy, and charge transfer. The adsorption energies of the four structures were −0.158, −0.159, −0.122 and −0.018 eV, respectively. The charge transfers were 0.034, 0.013, −0.068, −0.026 e, respectively. The long adsorption distance, small adsorption energy, and small charge transfer confirm that Ag3-GeSe and Ag4-GeSe are physical adsorptions to CH4. Ag-GeSe is more suitable for CH4 gas adsorption according to the moderate adsorption distance, large adsorption energy, and moderate charge transfer.

3.4. Molecular Orbital Theory Analysis of Gases Adsorption on Agn-GeSe

The behavior of electron distribution in the adsorption process was analyzed by molecular orbital theory. The HOMO and LUMO of the CO and CH4 adsorption systems are shown in Figure 8 and Figure 9, respectively. The energy gap between HOMO and LUMO can be a key indicator to evaluate the conductivity of the target structure. Before gas adsorption on Agn-GeSe, HOMO mainly distributed over Ag, indicating that the Ag atom provided electrons to interact with CO and CH4 gases as an active site. After CO and CH4 adsorption, HOMO changes became more concentrated on Ag, while LUMO became more uniform.
As shown in Table 3, the energy gaps of the four CO adsorption structures were 0.053, 0.037, 0.031 and 0.036 eV, respectively. There was a small HOMO and LUMO distribution of Ag4-GeSe on Ag atoms upon CO adsorption, indicating that the electron distribution of the system was uniform, and the moderate band gap indicated that Ag4-GeSe was more suitable for CO adsorption. The energy gaps of the four CH4 adsorption systems were 0.049, 0.044, 0.046 and 0.025 eV, respectively. After Ag-GeSe adsorbed CH4, the band gap increased significantly, which made the conductivity of the system decrease significantly, so the conductivity change of the target system was more obvious. Therefore, Ag-GeSe is more suitable for the gas-sensing of CH4.

4. Conclusions

In this work, the adsorption behaviors of 1–4 Ag atom-modified GeSe to CO and CH4 gases were analyzed based on first principle calculations. The interaction mechanism between Agn-GeSe and the gas molecules was comprehensively investigated by analyzing adsorption structure, the density of states, and molecular orbital theory. All four Agn-GeSe structures chemisorb CO gas, but Ag4-GeSe is more suitable for CO gas sensors according to proper adsorption distance, large adsorption energy, and proper charge transfer. Ag-GeSe and Ag2-GeSe chemisorb, while Ag3-GeSe and Ag4-GeSe physisorb CH4 gas. Based on the density of states and molecular orbital theory analysis, it can be concluded that Ag-GeSe is more suitable for the detection of CH4 gas. Although the adsorption mechanism was slightly different for CO and CH4 adsorption on different Ag atom-doping systems, the adsorption capacity was very close. In conclusion, Ag cluster-modified GeSe could be a suitable CO and CH4 gas-sensing material for use in the power system.

Author Contributions

A.D.: writing—review and editing, validation. M.S.: supervision, conceptualization, methodology. Y.G.: data curation, writing—original draft. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Data Availability Statement

The data that support the findings of this study are available from the corresponding author upon reasonable request.

Conflicts of Interest

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

References

  1. Xie, Y.; Ruan, J.; Shi, Y.; Jin, S.; Tian, Y.; Zhu, L. Inversion Detection Method for Resistivity of Oil-Immersed Paper in Transformer. IEEE Trans. Power Deliv. 2019, 34, 1757–1765. [Google Scholar] [CrossRef]
  2. Zhang, X.; Gui, Y.; Xiao, H.; Zhang, Y. Analysis of adsorption properties of typical partial discharge gases on Ni-SWCNTs using density functional theory. Appl. Surf. Sci. 2016, 379, 47–54. [Google Scholar] [CrossRef]
  3. Lin, M.-J.; Chen, L.-B.; Yu, C.-T. A Methodology for Diagnosing Faults in Oil-Immersed Power Transformers Based on Minimizing the Maintenance Cost. IEEE Access 2020, 8, 209570–209578. [Google Scholar] [CrossRef]
  4. Liu, J.; Fan, X.; Zhang, Y.; Zheng, H.; Zhang, C. Condition prediction for oil-immersed cellulose insulation in field transformer using fitting fingerprint database. IEEE Trans. Dielectr. Electr. Insul. 2020, 27, 279–287. [Google Scholar] [CrossRef]
  5. Chu, J.; Li, W.; Yang, X.; Wu, Y.; Wang, D.; Yang, A.; Yuan, H.; Wang, X.; Li, Y.; Rong, M. Identification of gas mixtures via sensor array combining with neural networks. Sens. Actuators B Chem. 2021, 329, 129090. [Google Scholar] [CrossRef]
  6. Zhang, X.; Yu, L.; Gui, Y.; Hu, W. First-principles study of SF6 decomposed gas adsorbed on Au-decorated graphene. Appl. Surf. Sci. 2016, 367, 259–269. [Google Scholar] [CrossRef]
  7. Zhang, X.; Yu, L.; Wu, X.; Hu, W. Experimental Sensing and Density Functional Theory Study of H2S and SOF2 Adsorption on Au-Modified Graphene. Adv. Sci. 2015, 2, 1500101. [Google Scholar] [CrossRef]
  8. Cho, B.H.; Chino, H.; Tsuji, H.; Kunito, T.; Makishima, H.; Uchida, H.; Matsumoto, S.; Oyaizu, H. Analysis of oil components and hydrocarbon-utilizing microorganisms during laboratory-scale bioremediation of oil-contaminated soil of Kuwait. Chemosphere 1997, 35, 1613–1621. [Google Scholar] [CrossRef]
  9. Verma, A.M.; Agrawal, K.; Kawale, H.D.; Kishore, N. Production of Toluene by Decomposition of 2-Hydroxy-6-methylbenzaldehyde: A DFT Study. Chemistryselect 2018, 3, 220–229. [Google Scholar] [CrossRef]
  10. Gui, Y.; Li, T.; He, X.; Ding, Z.; Yang, P. Pt Cluster Modified h-BN for Gas Sensing and Adsorption of Dissolved Gases in Transformer Oil: A Density Functional Theory Study. Nanomaterials 2019, 9, 1746. [Google Scholar] [CrossRef]
  11. He, X.; Gui, Y.; Xie, J.; Liu, X.; Wang, Q.; Tang, C. A DFT study of dissolved gas (C2H2, H2, CH4) detection in oil on CuO-modified BNNT. Appl. Surf. Sci. 2020, 500, 144030. [Google Scholar] [CrossRef]
  12. Gui, Y.; Peng, X.; Liu, K.; Ding, Z. Adsorption of C2H2, CH4 and CO on Mn-doped graphene: Atomic, electronic, and gas-sensing properties. Phys. E Low-Dimens. Syst. Nanostruct. 2020, 119, 113959. [Google Scholar] [CrossRef]
  13. Chen, W.; Gui, Y.; Li, T.; Zeng, H.; Xu, L.; Ding, Z. Gas-sensing properties and mechanism of Pd-GaNNTs for air decomposition products in ring main unit. Appl. Surf. Sci. 2020, 531, 147293. [Google Scholar] [CrossRef]
  14. Zhou, Q.; Zeng, W.; Chen, W.; Xu, L.; Kumar, R.; Umar, A. High sensitive and low-concentration sulfur dioxide (SO2) gas sensor application of heterostructure NiO-ZnO nanodisks. Sens. Actuators B Chem. 2019, 298, 126870. [Google Scholar] [CrossRef]
  15. Wang, J.; Zhou, Q.; Xu, L.; Gao, X.; Zeng, W. Gas sensing mechanism of dissolved gases in transformer oil on Ag-MoS2 monolayer: A DFT study. Phys. E Low-Dimens. Syst. Nanostruct. 2020, 118, 113947. [Google Scholar] [CrossRef]
  16. Yang, A.; Wang, D.; Lan, T.; Chu, J.; Li, W.; Pan, J.; Liu, Z.; Wang, X.; Rong, M. Single ultrathin WO3 nanowire as a superior gas sensor for SO2 and H2S:Selective adsorption and distinct I-V response. Mater. Chem. Phys. 2020, 240, 122165. [Google Scholar] [CrossRef]
  17. Li, P.; Hong, Q.; Wu, T.; Cui, H. SOF2 sensing by Rh-doped PtS2 monolayer for early diagnosis of partial discharge in the SF6 insulation device. Mol. Phys. 2021, 119, e1919774. [Google Scholar] [CrossRef]
  18. Gui, Y.; Zhang, X.; Lv, P.; Wang, S.; Tang, C.; Zhou, Q. Ni-CNT Chemical Sensor for SF6 Decomposition Components Detection: A Combined Experimental and Theoretical Study. Sensors 2018, 18, 3493. [Google Scholar] [CrossRef] [Green Version]
  19. Keshtkar, S.; Rashidi, A.; Kooti, M.; Askarieh, M.; Pourhashem, S.; Ghasemy, E.; Izadi, N. A novel highly sensitive and selective H2S gas sensor at low temperatures based on SnO2 quantum dots-C(60)nanohybrid: Experimental and theory study. Talanta 2018, 188, 531–539. [Google Scholar] [CrossRef] [PubMed]
  20. Ji, S.; Yang, J.; Xu, C.; Wang, J.; Xue, J. Temperature-programmed desorption/pulse surface reaction (TPD/TPSR) studies of CH4, C2H6, C2H4, and CO over a cobalt/MWNTS catalyst. React. Kinet. Catal. Lett. 2006, 89, 209–217. [Google Scholar] [CrossRef]
  21. Shin, H.; Krogel, J.T.; Gasperich, K.; Kent, P.R.C.; Benali, A.; Heinonen, O. Optimized structure and electronic band gap of monolayer GeSe from quantum Monte Carlo methods. Phys. Rev. Mater. 2021, 5, 024002. [Google Scholar] [CrossRef]
  22. Liu, L.; Yang, Q.; Wang, Z.; Ye, H.; Chen, X.; Fan, X.; Zhang, G. High Selective Gas Detection for small molecules based on Germanium selenide monolayer. Appl. Surf. Sci. 2018, 433, 575–581. [Google Scholar] [CrossRef]
  23. Wang, Y.; Li, T.; Peng, Y.; Gui, Y.; Sun, H. Full Length Article Pd and Pt decorated GeSe monolayers as promising materials for SOF2 and SO2F2 sensing. Appl. Surf. Sci. 2021, 560, 150028. [Google Scholar] [CrossRef]
  24. Li, X.; Tang, C.; Wang, J.; Tian, W.; Hu, D. Analysis and mechanism of adsorption of naphthenic mineral oil, water, formic acid, carbon dioxide, and methane on meta-aramid insulation paper. J. Mater. Sci. 2019, 54, 8556–8570. [Google Scholar] [CrossRef]
  25. Wang, X.; Tan, J.; Han, C.; Wang, J.-J.; Lu, L.; Du, H.; Jia, C.-L.; Deringer, V.L.; Zhou, J.; Zhang, W. Sub-Angstrom Characterization of the Structural Origin for High In-Plane Anisotropy in 2D GeS2. ACS Nano 2020, 14, 4456–4462. [Google Scholar] [CrossRef]
  26. Gui, Y.; Liu, Z.; Ji, C.; Xu, L.; Chen, X. Adsorption behavior of metal oxides (CuO, NiO, Ag2O) modified GeSe monolayer towards dissolved gases (CO, CH4, C2H2, C2H4) in transformer oil. J. Ind. Eng. Chem. 2022, 112, 134–145. [Google Scholar] [CrossRef]
  27. Guo, L.-Y.; Liang, S.; Yang, Z.; Jin, L.; Tan, Y.; Huang, Z. Gas-Sensing Properties of Dissolved Gases in Insulating Material Adsorbed on SnO2–GeSe Monolayer. Chemosensors 2022, 10, 212. [Google Scholar] [CrossRef]
  28. He, X.; Gui, Y.; Liu, K.; Xu, L. Comparison of sensing and electronic properties of C2H2 on different transition metal oxide nanoparticles (Fe2O3, NiO, TiO2) modified BNNT (10,0). Appl. Surf. Sci. 2020, 521, 146463. [Google Scholar] [CrossRef]
  29. Cao, W.; Gui, Y.; Chen, T.; Xu, L.; Ding, Z. Adsorption and gas-sensing properties of Pt2–GaNNTs for SF6 decomposition products. Appl. Surf. Sci. 2020, 524, 146570. [Google Scholar] [CrossRef]
  30. Li, T.; Gui, Y.; Zhao, W.; Tang, C.; Dong, X. Palladium modified MoS2 monolayer for adsorption and scavenging of SF6 decomposition products: A DFT study. Phys. E Low-Dimens. Syst. Nanostruct. 2020, 123, 114178. [Google Scholar] [CrossRef]
  31. Gui, Y.; Shi, J.; Yang, P.; Li, T.; Tang, C.; Xu, L. Platinum modified MoS2 monolayer for adsorption and gas sensing of SF6 decomposition products: A DFT study. High Volt. 2020, 5, 454–462. [Google Scholar] [CrossRef]
  32. Xu, L.; Gui, Y.; Li, W.; Li, Q.; Chen, X. Gas-sensing properties of Ptn-doped WSe2 to SF6 decomposition products. J. Ind. Eng. Chem. 2021, 97, 452–459. [Google Scholar] [CrossRef]
  33. Capelle, K.; Gross, E.K.U. Spin-density functionals from current-density functional theory and vice versa: A road towards new approximations. Phys. Rev. Lett. 1997, 78, 1872–1875. [Google Scholar] [CrossRef] [Green Version]
  34. Gui, Y.; Shi, J.; Xu, L.; Ran, L.; Chen, X. Aun (n = 1–4) cluster doped MoSe2 nanosheet as a promising gas-sensing material for C2H4 gas in oil-immersed transformer. Appl. Surf. Sci. 2021, 541, 148356. [Google Scholar] [CrossRef]
  35. Wang, J.; Zhou, Q.; Zeng, W. Competitive adsorption of SF6 decompositions on Ni-doped ZnO (100) surface: Computational and experimental study. Appl. Surf. Sci. 2019, 479, 185–197. [Google Scholar] [CrossRef]
  36. Zheng, W.; Tang, C.; Xie, J.; Gui, Y. Micro-scale effects of nano-SiO2 modification with silane coupling agents on the cellulose/nano-SiO2 interface. Nanotechnology 2019, 30, 445701. [Google Scholar] [CrossRef] [PubMed]
  37. Saidi, W.A.; Feng, H.; Fichthorn, K.A. Binding of Polyvinylpyrrolidone to Ag Surfaces: Insight into a Structure-Directing Agent from Dispersion-Corrected Density Functional Theory. J. Phys. Chem. C 2013, 117, 1163–1171. [Google Scholar] [CrossRef]
  38. Delley, B. From molecules to solids with the DMol3 approach. J. Chem. Phys. 2000, 113, 7756–7764. [Google Scholar] [CrossRef]
  39. Perdew, J.P.; Burke, K.; Ernzerhof, M. Comment on “Generalized gradient approximation made simple”. Reply Phys. Rev. Lett. 1998, 80, 891. [Google Scholar] [CrossRef]
  40. Perdew, J.P.; Burke, K.; Ernzerhof, M. Generalized gradient approximation made simple. Phys. Rev. Lett. 1997, 78, 1396. [Google Scholar] [CrossRef]
  41. White, J.A.; Bird, D.M. Implementation of gradient-corrected exchange-correlation potentials in Car-Parrinello total-energy calculations. Phys. Rev. B 1994, 50, 4954–4957. [Google Scholar] [CrossRef] [PubMed]
  42. Delley, B. An all-electron numerical method for solving the local density functional for polyatomic molecules. J. Chem. Phys. 1990, 92, 508–517. [Google Scholar] [CrossRef]
  43. Lu, J.; Zhang, Z. Convergence analysis of generalized nonlinear inexact Uzawa algorithm for stabilized saddle point problems. Front. Math. China 2011, 6, 473–492. [Google Scholar] [CrossRef]
  44. Gustafsson, B. The Convergence Rate for Difference Approximations to General Mixed Initial Boundary-Value-Problems. Siam J. Numer. Anal. 1981, 18, 179–190. [Google Scholar] [CrossRef]
  45. Liu, S.H.; Tsai, H.M.; Pao, C.W.; Chiou, J.W.; Ling, D.C.; Pong, W.F.; Tsai, M.H.; Lin, H.J.; Jang, L.Y.; Lee, J.F.; et al. Electronic and magnetic properties of the Ag-doped Fe3O4 films studied by x-ray absorption spectroscopy. Appl. Phys. Lett. 2006, 89, 092112. [Google Scholar] [CrossRef]
  46. Cui, J.; He, J.; Chen, Y. Delocalized Carriers and the Electrical Transport Properties of n-Type GeSe Crystals. ACS Appl. Energy Mater. 2019, 2, 3703–3707. [Google Scholar] [CrossRef]
Figure 1. Structures of GeSe and gas molecules (a) Top view, (b) side view, (c) CO molecule, (d) CH4 molecule. The distance is in Å.
Figure 1. Structures of GeSe and gas molecules (a) Top view, (b) side view, (c) CO molecule, (d) CH4 molecule. The distance is in Å.
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Figure 2. The stable structures of Agn-GeSe. (a) Ag-GeSe, (b) Ag2-GeSe, (c) Ag3-GeSe, (d) Ag4-GeSe. The distance is in Å.
Figure 2. The stable structures of Agn-GeSe. (a) Ag-GeSe, (b) Ag2-GeSe, (c) Ag3-GeSe, (d) Ag4-GeSe. The distance is in Å.
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Figure 3. TDOS and PDOS before and after 1~4 Ag atoms doping on GeSe. (a1,a2) Ag-GeSe, (b1,b2) Ag2-GeSe, (c1,c2) Ag3-GeSe, (d1,d2) Ag4-GeSe.
Figure 3. TDOS and PDOS before and after 1~4 Ag atoms doping on GeSe. (a1,a2) Ag-GeSe, (b1,b2) Ag2-GeSe, (c1,c2) Ag3-GeSe, (d1,d2) Ag4-GeSe.
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Figure 4. The adsorption structures of gas molecules on Agn-GeSe. (a) Ag-GeSe/CO, (b) Ag2-GeSe/CO, (c) Ag3-GeSe/CO, (d) Ag4-GeSe/CO. The distance is in Å.
Figure 4. The adsorption structures of gas molecules on Agn-GeSe. (a) Ag-GeSe/CO, (b) Ag2-GeSe/CO, (c) Ag3-GeSe/CO, (d) Ag4-GeSe/CO. The distance is in Å.
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Figure 5. TDOS and PDOS of gas molecules adsorption on Agn-GeSe. (a1) TDOS of CO on Ag modified GeSe (b1) TDOS of CO on Ag2 modified GeSe (c1) TDOS of CO on Ag3 modified GeSe (d1) TDOS of CO on Ag4 modified GeSe; (a2d2) are PDOS of the corresponding subgraph.
Figure 5. TDOS and PDOS of gas molecules adsorption on Agn-GeSe. (a1) TDOS of CO on Ag modified GeSe (b1) TDOS of CO on Ag2 modified GeSe (c1) TDOS of CO on Ag3 modified GeSe (d1) TDOS of CO on Ag4 modified GeSe; (a2d2) are PDOS of the corresponding subgraph.
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Figure 6. The most stable structures of gas molecules on Agn-GeSe. (a) Ag-GeSe/CH4 (b) Ag2-GeSe/CH4 (c) Ag3-GeSe/CH4 (d) Ag4-GeSe/CH4.
Figure 6. The most stable structures of gas molecules on Agn-GeSe. (a) Ag-GeSe/CH4 (b) Ag2-GeSe/CH4 (c) Ag3-GeSe/CH4 (d) Ag4-GeSe/CH4.
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Figure 7. TDOS and PDOS of adsorption of gas molecules on Agn−GeSe. (a1) TDOS of CH4 on Ag modified GeSe (b1) TDOS of CH4 on Ag2 modified GeSe (c1) TDOS of CH4 on Ag3 modified GeSe (d1) TDOS of CH4 on Ag4 modified GeSe; (a2d2) are PDOS of the corresponding subgraph.
Figure 7. TDOS and PDOS of adsorption of gas molecules on Agn−GeSe. (a1) TDOS of CH4 on Ag modified GeSe (b1) TDOS of CH4 on Ag2 modified GeSe (c1) TDOS of CH4 on Ag3 modified GeSe (d1) TDOS of CH4 on Ag4 modified GeSe; (a2d2) are PDOS of the corresponding subgraph.
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Figure 8. HOMO and LUMO distribution after CO adsorption. (a) Ag-GeSe/CO system (b) Ag2-GeSe/CO system (c) Ag3-GeSe/CO system (d) Ag4-GeSe/CO system.
Figure 8. HOMO and LUMO distribution after CO adsorption. (a) Ag-GeSe/CO system (b) Ag2-GeSe/CO system (c) Ag3-GeSe/CO system (d) Ag4-GeSe/CO system.
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Figure 9. HOMO and LUMO distribution after CH4 adsorption. (a) Ag-GeSe/CH4 system (b) Ag2-GeSe/CH4 system (c) Ag3-GeSe/CH4 system (d) Ag4-GeSe/CH4 system.
Figure 9. HOMO and LUMO distribution after CH4 adsorption. (a) Ag-GeSe/CH4 system (b) Ag2-GeSe/CH4 system (c) Ag3-GeSe/CH4 system (d) Ag4-GeSe/CH4 system.
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Table 1. Adsorption parameters of CO gas molecules on Agn-GeSe.
Table 1. Adsorption parameters of CO gas molecules on Agn-GeSe.
ConfigurationStructured (Å)Eads (eV)QT (e)
Ag-GeSe/COFigure 4a2.080−0.1770.134
Ag2-GeSe/COFigure 4b2.157−0.1660.105
Ag3-GeSe/COFigure 4c2.194−0.171−0.014
Ag4-GeSe/COFigure 4d2.086−0.193−0.165
Table 2. Adsorption parameters of CH4 gas molecules on Agn-GeSe.
Table 2. Adsorption parameters of CH4 gas molecules on Agn-GeSe.
ConfigurationStructured (Å)Eads (eV)QT (e)
Ag-GeSe/CH4Figure 6a2.778−0.1580.034
Ag2-GeSe/CH4Figure 6b2.957−0.1590.013
Ag3-GeSe/CH4Figure 6c4.164−0.122−0.068
Ag4-GeSe/CH4Figure 6d3.328−0.018−0.026
Table 3. Energy of HOMO, LUMO, and energy gap of CO and CH4 adsorbed Agn-GeSe systems.
Table 3. Energy of HOMO, LUMO, and energy gap of CO and CH4 adsorbed Agn-GeSe systems.
ConfigurationStructureEHOMO (eV)ELUMO (eV)Eg (eV)
Ag-GeSe\−4.707−3.4831.224
Ag2-GeSe\−4.555−3.3111.244
Ag3-GeSe\−4.700−3.6481.052
Ag4-GeSe\−4.329−3.7160.613
Ag-GeSe/CO
Ag2-GeSe/CO
Figure 8a
Figure 8b
−0.175
−0.158
−0.122
−0.121
0.053
0.037
Ag3-GeSe/COFigure 8c−0.168−0.1370.031
Ag4-GeSe/COFigure 8d−0.160−0.1240.036
Ag-GeSe/CH4
Ag2-GeSe/CH4
Figure 9a
Figure 9b
−0.166
−0.166
−0.117
−0.122
0.049
0.044
Ag3-GeSe/CH4Figure 9c−0.150−0.1040.046
Ag4-GeSe/CH4Figure 9d−0.149−0.1240.025
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Dong, A.; Sun, M.; Gui, Y. Adsorption and Gas-Sensing Properties of Agn (n = 1–4) Cluster Doped GeSe for CH4 and CO Gases in Oil-Immersed Transformer. Nanomaterials 2022, 12, 4203. https://doi.org/10.3390/nano12234203

AMA Style

Dong A, Sun M, Gui Y. Adsorption and Gas-Sensing Properties of Agn (n = 1–4) Cluster Doped GeSe for CH4 and CO Gases in Oil-Immersed Transformer. Nanomaterials. 2022; 12(23):4203. https://doi.org/10.3390/nano12234203

Chicago/Turabian Style

Dong, Aijuan, Meiling Sun, and Yingang Gui. 2022. "Adsorption and Gas-Sensing Properties of Agn (n = 1–4) Cluster Doped GeSe for CH4 and CO Gases in Oil-Immersed Transformer" Nanomaterials 12, no. 23: 4203. https://doi.org/10.3390/nano12234203

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