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Sensing behavior of Cu‑embedded C3N monolayer upon dissolved gases in transformer oil: a first‑principles study KCI 등재

  • 언어ENG
  • URLhttps://db.koreascholar.com/Article/Detail/420599
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Carbon Letters (Carbon letters)
한국탄소학회 (Korean Carbon Society)
초록

Using first-principles theory, this work investigated the Cu-doping behavior on the N-vacancy of the C3N monolayer and simulated the adsorption performance of Cu-doped C3N (Cu–C3N) monolayer upon two dissolved gases ( H2 and C2H2). The calculations meant to explore novel candidate for sensing application in the field of electrical engineering evaluating the operation status of the transformers. Our results indicated that the Cu dopant could be stably anchored on the N- vacancy with the Eb of − 3.65 eV and caused a magnetic moment of 1 μB. The Cu–C3N monolayer has stronger performance upon C2H2 adsorption than H2 give the larger Ead, QT and change in electronic behavior. The frontier molecular orbital (FMO) theory indicates that Cu–C3N monolayer has the potential to be applied as a resistance-type sensor for detection of such two gases, while the work function analysis evidences its potential as a field-effect transistor sensor as well. Our work can bring beneficial information for exploration of novel sensing material to be applied in the field of electrical engineering, and provide guidance to explore novel nano-sensors in many fields.

목차
    Abstract
    1 Introduction
    2 Computational details
    3 Results and discussion
        3.1 Analysis of Cu–C3N monolayer
        3.2 H2 and C2H2 adsorption
        3.3 DOS analysis
        3.4 Frontier molecular orbital theory
        3.5 Work function (WF) analysis
    4 Conclusions
    Acknowledgements 
    References
저자
  • Wen Cao(School of Information Engineering, Southwest University of Science and Technology, Fundamental Science on Nuclear Wastes and Environmental Safety Laboratory, Southwest University of Science and Technology)
  • Chunmei Liu(School of Information Engineering, Southwest University of Science and Technology)
  • Pengfei Jia(Fundamental Science on Nuclear Wastes and Environmental Safety Laboratory, Southwest University of Science and Technology)
  • Hao Cui(College of Artificial Intelligence, Southwest University, State Key Laboratory of Power Transmission Equipment and System Security and New Technology, Chongqing University)