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Tuning the selective sensing properties of transition metal dichalcogenides (MoX2 X= Se, Te) toward sulfurrich gases
Hindustan Inst Technol & Sci, Ctr Clean Energy & Nano Convergence, Chennai 603103, Tamil Nadu, India..
Hindustan Inst Technol & Sci, Sch Aeronaut Sci, Chennai 603103, Tamil Nadu, India..
Gujarat Univ, Univ Sch Sci, Dept Phys, Ahmadabad 380009, Gujarat, India..
St Xaviers Coll, Computat Mat & Nanosci Grp, Dept Phys, Ahmadabad 380009, Gujarat, India..
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2022 (English)In: Materials Today Chemistry, E-ISSN 2468-5194, Vol. 26, article id 101069Article in journal (Refereed) Published
Abstract [en]

There is an urgent need for an efficient sensor to mitigate the effects of toxic pollutants possessing severe impacts on humans and the environment. Motivated by this, we investigated the selected transition metal dichalcogenides (MoX2: X = Se, Te) monolayers toward the toxic sulfur-containing gases, such as H2S and SO2. We employed density functional theory simulations in combination with nonequilibrium Green's function formalism to study the optimized geometries, binding strength, electronic structures, charge transfer mechanism, and transport (current-voltage) characteristics of MoX2 with and without H2S and SO2. Weak binding energies (<-0.30 eV) of H2S/SO2 on pristine MoX2 were enhanced by selectively substituting the latter with elements like As, Ge, and Sb at lower doping concentrations of around 2%. We find that the doped MoX2 strongly adsorbs H2S/SO2 yielding significant changes in their electronic properties, which were the fundamentals for the efficient sensing mechanism and were studied through the density of states and work function calculations. For the practical sensing applica-tions, we considered the statistical thermodynamic analysis to investigate the sensing properties of pristine and doped MoX2 monolayers under varied conditions of the temperatures and pressures. We are confident that our findings would pave the way for synthesizing sensitive and selective transition metal dichalcogenides-based nanosensor toward H2S/SO2.

Place, publisher, year, edition, pages
Elsevier, 2022. Vol. 26, article id 101069
Keywords [en]
2D materials, Dopants, DFT, Green's function, Transport, Thermodynamic analysis
National Category
Materials Chemistry Condensed Matter Physics
Identifiers
URN: urn:nbn:se:uu:diva-487996DOI: 10.1016/j.mtchem.2022.101069ISI: 000867677600005OAI: oai:DiVA.org:uu-487996DiVA, id: diva2:1708980
Funder
Swedish Research Council, VR-2016-06014Swedish Research Council, VR-202004410Available from: 2022-11-07 Created: 2022-11-07 Last updated: 2024-02-12Bibliographically approved

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Ahuja, Rajeev

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