{"title":"Adsorption and sensing of SF6 decomposition gas molecules by Ni-InN monolayer: A first-principles study","authors":"Yunjian Wu, Xing Li, Yuxin Duan, Yi Pan, Jiawei Yuan, Xiaoxing Zhang","doi":"10.1016/j.mssp.2024.109137","DOIUrl":null,"url":null,"abstract":"<div><div>SF₆ gas-insulated equipment is widely used in power systems; however, insulation defects and failures are inevitable over time, leading to the decomposition of SF₆ gas. Ni-modified InN exhibits excellent gas adsorption properties and can be applied in gas sensors. In this study, the doping process of Ni on the InN surface was simulated based on first-principles calculations, and an optimal adsorption model for the three decomposition gases of SF₆ (SO₂, SO₂F₂, SOF₂) was established. The adsorption characteristics of each system were analyzed by calculating parameters such as adsorption energy, charge transfer, adsorption distance, differential charge density, and density of states. Finally, the sensing performance was comprehensively evaluated to assess the potential application of Ni-InN as a sensing material. The results indicate that Ni-InN exhibits good adsorption effects on SO₂, SO₂F₂, and SOF₂, all of which demonstrate chemical adsorption with adsorption energies of −2.272 eV, −3.523 eV, and −1.829 eV, respectively. However, Ni-InN shows poor sensitivity to SO₂ and SO₂F₂, while it exhibits excellent sensitivity to SOF₂, suggesting that it could potentially serve as a sensitive material for SOF₂ detection. The findings of this study provide theoretical support for the application of InN-based sensors in the field of condition monitoring and fault diagnosis of SF₆ gas-insulated equipment.</div></div>","PeriodicalId":18240,"journal":{"name":"Materials Science in Semiconductor Processing","volume":"188 ","pages":"Article 109137"},"PeriodicalIF":4.2000,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Materials Science in Semiconductor Processing","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1369800124010333","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0
Abstract
SF₆ gas-insulated equipment is widely used in power systems; however, insulation defects and failures are inevitable over time, leading to the decomposition of SF₆ gas. Ni-modified InN exhibits excellent gas adsorption properties and can be applied in gas sensors. In this study, the doping process of Ni on the InN surface was simulated based on first-principles calculations, and an optimal adsorption model for the three decomposition gases of SF₆ (SO₂, SO₂F₂, SOF₂) was established. The adsorption characteristics of each system were analyzed by calculating parameters such as adsorption energy, charge transfer, adsorption distance, differential charge density, and density of states. Finally, the sensing performance was comprehensively evaluated to assess the potential application of Ni-InN as a sensing material. The results indicate that Ni-InN exhibits good adsorption effects on SO₂, SO₂F₂, and SOF₂, all of which demonstrate chemical adsorption with adsorption energies of −2.272 eV, −3.523 eV, and −1.829 eV, respectively. However, Ni-InN shows poor sensitivity to SO₂ and SO₂F₂, while it exhibits excellent sensitivity to SOF₂, suggesting that it could potentially serve as a sensitive material for SOF₂ detection. The findings of this study provide theoretical support for the application of InN-based sensors in the field of condition monitoring and fault diagnosis of SF₆ gas-insulated equipment.
期刊介绍:
Materials Science in Semiconductor Processing provides a unique forum for the discussion of novel processing, applications and theoretical studies of functional materials and devices for (opto)electronics, sensors, detectors, biotechnology and green energy.
Each issue will aim to provide a snapshot of current insights, new achievements, breakthroughs and future trends in such diverse fields as microelectronics, energy conversion and storage, communications, biotechnology, (photo)catalysis, nano- and thin-film technology, hybrid and composite materials, chemical processing, vapor-phase deposition, device fabrication, and modelling, which are the backbone of advanced semiconductor processing and applications.
Coverage will include: advanced lithography for submicron devices; etching and related topics; ion implantation; damage evolution and related issues; plasma and thermal CVD; rapid thermal processing; advanced metallization and interconnect schemes; thin dielectric layers, oxidation; sol-gel processing; chemical bath and (electro)chemical deposition; compound semiconductor processing; new non-oxide materials and their applications; (macro)molecular and hybrid materials; molecular dynamics, ab-initio methods, Monte Carlo, etc.; new materials and processes for discrete and integrated circuits; magnetic materials and spintronics; heterostructures and quantum devices; engineering of the electrical and optical properties of semiconductors; crystal growth mechanisms; reliability, defect density, intrinsic impurities and defects.