The promotion of sulfuric vacancy in two-dimensional molybdenum disulfide on the sensing performance of SF6 decomposition components

Peng, Zhong; Tao, Lu‐Qi; Wang, Guanya; Zhang, Fusheng; Sun, Hao; Zhu, Congcong; Zou, Simin; Yu, Jiabing; Chen, Xianping

doi:10.1016/j.apsusc.2021.151377

Cited by 12 publications

(7 citation statements)

References 44 publications

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“…Based on the DFT method, the construction and calculation of the model in this study are all in DMol3 and CASTEP codes of the Materials Studio software [33][34][35][36]. In order to avoid the interference of adjacent units, a 15 Å vacuum layer was constructed.…”

Section: Computational Detailsmentioning

confidence: 99%

As-Doped h-BN Monolayer: A High Sensitivity and Short Recovery Time SF6 Decomposition Gas Sensor

Long

Xia

Guo

et al. 2022

Sensors

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SF6 is a common insulating medium of gas-insulated switchgear (GIS). However, it is inevitable that SF6 will be decomposed due to partial discharge (PD) in GIS, which will cause hidden dangers to the safe and stable operation of equipment. Based on the DFT method, the two-dimensional nano-composite As-doped h-BN (As-BN) monolayer was proposed. By modeling and calculating, the ability of an As-BN monolayer as a specific sensor for SO2F2 (compared with an H2O adsorption system and CO2 adsorption system) was evaluated by parameters such as the binding energy (Eb), adsorption energy (Eads), transfer charge (ΔQ), geometric structure parameters, the total density of states (TDOS), band structure, charge difference density (CDD), electron localization function (ELF), sensitivity (S), and recovery time (τ). The results showed that an As-BN monolayer showed strong adsorption specificity, high sensitivity, and short recovery time for SO2F2 gas molecules. Therefore, the As-BN monolayer sensor has great application potential in the detection of SF6 decomposition gases.

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Section: Computational Detailsmentioning

confidence: 99%

As-Doped h-BN Monolayer: A High Sensitivity and Short Recovery Time SF6 Decomposition Gas Sensor

Long

Xia

Guo

et al. 2022

Sensors

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“…[13][14][15][16] At present, there are relatively few studies on the detection of SF 6 decomposition products by semiconductor sensors. [17][18][19][20][21][22] Chen et al used rstprinciples to study the adsorption properties of Cu atom-modied hexagonal InN for four typical SF 6 decomposition products. 23 The results show that the Cu modied InN exhibited an enhanced adsorption of SO 2 , SOF 2 , and SO 2 F 2 gas molecules on the surface of InN.…”

Section: Introductionmentioning

confidence: 99%

Construction of LaF₃ QD-modified SnS₂ nanorod composites for ultrasensitive detection of H₂S

Tang

Wang

et al. 2023

J. Mater. Chem. A

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“…Many previous studies on gas adsorption that cannot be completed due to complex experimental conditions can carry out theoretical simulation through these technologies to better understand the properties of materials and many complex chemical reaction mechanisms. Based on the first-principles density-functional theory, the electronic properties and microscopic mechanism of gas sensing materials can be obtained, and, on this basis, the macroscopic physical and chemical properties of gas-sensing materials can be deduced [35][36][37][38][39][40][41][42].…”

Section: Introductionmentioning

confidence: 99%

Gas-Sensing Properties of Dissolved Gases in Insulating Material Adsorbed on SnO2–GeSe Monolayer

Guo

Liang²,

Yang³

et al. 2022

Chemosensors

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In a transformer, the insulation materials will produce different dissolved gases due to various faults in the operation of the transformer, in which C2H2, CH4, and H2 are the main dissolved gases. In this study, the adsorption characteristics of the above three gases on the SnO2–GeSe monolayer surface were discussed and analyzed based on the density functional theory. The adsorption energy, transfer charge, geometric structure parameters, electronic density of states, electronic local function, charge difference density, and recovery time were calculated and compared to characterize the gas-sensing adsorption mechanism. The results showed that the SnO2–GeSe monolayer exhibited good adsorption capacity, selectivity, and repeatability for the three characteristic dissolved gases. After adsorbing CH4 gas molecules, the conductivity of the SnO2–GeSe monolayer decreased. After adsorbing C2H2 and H2 gas molecules, the conductivity of the SnO2–GeSe monolayer increased. Therefore, the SnO2–GeSe monolayer has great application potential in the real-time monitoring of dissolved gases in insulating materials, which may become a new type of resistive gas sensor.

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The promotion of sulfuric vacancy in two-dimensional molybdenum disulfide on the sensing performance of SF6 decomposition components

Cited by 12 publications

References 44 publications

As-Doped h-BN Monolayer: A High Sensitivity and Short Recovery Time SF6 Decomposition Gas Sensor

As-Doped h-BN Monolayer: A High Sensitivity and Short Recovery Time SF6 Decomposition Gas Sensor

Construction of LaF₃ QD-modified SnS₂ nanorod composites for ultrasensitive detection of H₂S

Gas-Sensing Properties of Dissolved Gases in Insulating Material Adsorbed on SnO2–GeSe Monolayer

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The promotion of sulfuric vacancy in two-dimensional molybdenum disulfide on the sensing performance of SF6 decomposition components

Cited by 12 publications

References 44 publications

As-Doped h-BN Monolayer: A High Sensitivity and Short Recovery Time SF6 Decomposition Gas Sensor

As-Doped h-BN Monolayer: A High Sensitivity and Short Recovery Time SF6 Decomposition Gas Sensor

Construction of LaF3 QD-modified SnS2 nanorod composites for ultrasensitive detection of H2S

Gas-Sensing Properties of Dissolved Gases in Insulating Material Adsorbed on SnO2–GeSe Monolayer

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Construction of LaF₃ QD-modified SnS₂ nanorod composites for ultrasensitive detection of H₂S