2022-Sustainable Industrial Processing Summit
SIPS2022 Volume 1 Alario-Franco Intl. Symp Solid State Chemistry

Editors:F. Kongoli, F. Marquis, S. Kalogirou, B. Raveau, A. Tressaud, H. Kageyama, A. Varez, R. Martins.
Publisher:Flogen Star OUTREACH
Publication Year:2022
Pages:154 pages
ISBN:978-1-989820-34-6 (CD)
ISSN:2291-1227 (Metals and Materials Processing in a Clean Environment Series)
CD-SIPS2022_Volume1
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    Predicting the Gas Sensing Performance of 2D Materials

    Udo Schwingenschlogl1;
    1KING ABDULLAH UNIVERSITY OF SCIENCE AND TECHNOLOGY (KAUST), Thuwal, Saudi Arabia;
    Type of Paper: Keynote
    Id Paper: 392
    Topic: 52

    Abstract:

    We study the potential of material simulations based on first-principles methods to predict gas sensing properties of 2D materials. This emerging class of materials is of particular interest to gas sensing applications due to high surface-to-volume ratios and chemical stability. We discuss in detail results of electron transport calculations within the Landauer-Büttiker formalism and compare the conclusions to analyses in terms of adsorption energies‚ charge transfers‚ and work functions. Specific examples include the effects of the interlayer interaction in bilayer MoS2 and WS2 on the gas sensing performance and the consequence of the presence of reactive Si in Si2BN. We also address the properties of C3N and para/meta-C3Si. Potential of very sensitive gas sensing is demonstrated for para-C3Si and is explained by the susceptibility of Dirac states to symmetry breaking distortions rather than by a mechanism based on charge transfer. Finally‚ the enhanced gas sensing performance of monovacant C6BN is studied and it is shown that the work function changes of both pristine and monovacant C6BN during gas adsorption do not correlate with the changes observed in the I-V characteristics.

    References:

    Adv. Theory Simul. 1, 1700008 (2018); ACS Appl. Nano Mater. 2, 6076-6080 (2019); J. Phys. Chem. C 123, 13104-13109 (2019); J. Phys. Condens. Matter 32, 355602 (2020); J. Phys. Chem. C 124, 5853-5860 (2020).

    Cite this article as:

    Schwingenschlogl U. (2022). Predicting the Gas Sensing Performance of 2D Materials. In F. Kongoli, F. Marquis, S. Kalogirou, B. Raveau, A. Tressaud, H. Kageyama, A. Varez, R. Martins. (Eds.), Sustainable Industrial Processing Summit SIPS2022 Volume 1 Alario-Franco Intl. Symp Solid State Chemistry (pp. 105-106). Montreal, Canada: FLOGEN Star Outreach