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    Highly Sensitive Sensing of NO and NO2 Gases by Monolayer C3 N

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    Type
    Article
    Authors
    Babar, Vasudeo Pandurang cc
    Sharma, Sitansh
    Schwingenschlögl, Udo cc
    KAUST Department
    Computational Physics and Materials Science (CPMS)
    Material Science and Engineering Program
    Physical Science and Engineering (PSE) Division
    Date
    2018-04-17
    Online Publication Date
    2018-04-17
    Print Publication Date
    2018-06
    Permanent link to this record
    http://hdl.handle.net/10754/627850
    
    Metadata
    Show full item record
    Abstract
    Using density functional theory with van der Waals dispersion correction, the adsorption behavior of common gaseous pollutants (CO, NO, NO2, and NH3) on monolayer C3N is investigated. The adsorption sites and energies, binding distances, charge transfers, and electronic band structures are calculated to understand the influence of the adsorbed molecules on the transport properties of monolayer C3N. The current–voltage characteristics are calculated using the nonequilibrium Green's function formalism. It turns out that all investigated molecules are physisorbed on monolayer C3N and that NO and NO2 gases can be sensed with high sensitivity. The recovery time of the sensor is found to be outstanding in the case of NO sensing (2.4 μs at room temperature) and competitive to other materials in the case of NO2 sensing.
    Citation
    Babar V, Sharma S, Schwingenschlögl U (2018) Highly Sensitive Sensing of NO and NO2 Gases by Monolayer C3 N. Advanced Theory and Simulations: 1700008. Available: http://dx.doi.org/10.1002/adts.201700008.
    Sponsors
    King Abdullah University of Science and Technology
    Publisher
    Wiley
    Journal
    Advanced Theory and Simulations
    DOI
    10.1002/adts.201700008
    Additional Links
    https://onlinelibrary.wiley.com/doi/abs/10.1002/adts.201700008
    ae974a485f413a2113503eed53cd6c53
    10.1002/adts.201700008
    Scopus Count
    Collections
    Articles; Physical Science and Engineering (PSE) Division; Material Science and Engineering Program; Computational Physics and Materials Science (CPMS)

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