Your browser doesn't support javascript.
loading
Arsenene as a promising sensor for the detection of H2S: a first-principles study.
Tian, Yu-Ping; Wang, Chao-Bo; Gong, Wei-Jiang.
Afiliação
  • Tian YP; College of Sciences, Northeastern University Shenyang 110819 China gwj@mail.neu.edu.cn.
  • Wang CB; College of Sciences, Northeastern University Shenyang 110819 China gwj@mail.neu.edu.cn.
  • Gong WJ; College of Sciences, Northeastern University Shenyang 110819 China gwj@mail.neu.edu.cn.
RSC Adv ; 13(4): 2234-2247, 2023 Jan 11.
Article em En | MEDLINE | ID: mdl-36741134
ABSTRACT
To explore the feasibility of arsenene in detecting H2S gas, we employ the density-functional theory to investigate the geometry, electronic structure and magnetic properties of defected and doped arsenene. Point defects do not appreciably improve the sensing performance of arsenene due to small adsorption energies and charge transfer. The doping of transition metals (Ti, V, Cr, Mn, Co and Ni) introduces magnetic moments and narrows the band gap of arsenene. Transition metal (TM) dopants can enhance the interaction between H2S and a modified arsenene substrate. Adsorption energies and charge transfers increase significantly, and the adsorption converts to chemisorption. After adsorption, the Ti and Cr-doped system's band gap change is twice that of the pristine and defective arsenene. The adsorption of H2S changes the system properties of two TM-doped arsenenes Ti-doped arsenene transforms from semiconductor to half-metal, and Ni-doped arsenene transforms from half-metal to conductor. Electrical signals can be observed in this process to detect H2S molecules. Our calculations show that doping improves the detecting performance of arsenene to H2S molecules more efficiently than defects. Our results indicate that arsenene has a promising future in developing H2S gas sensors.

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies Idioma: En Revista: RSC Adv Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies Idioma: En Revista: RSC Adv Ano de publicação: 2023 Tipo de documento: Article