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Molecular Simulation for Gas Adsorption at NiO (100) Surface
KTH, School of Industrial Engineering and Management (ITM), Materials Science and Engineering, Applied Material Physics.ORCID iD: 0000-0001-7321-8594
KTH, School of Industrial Engineering and Management (ITM), Materials Science and Engineering, Applied Material Physics.
2012 (English)In: ACS Applied Materials and Interfaces, ISSN 1944-8244, Vol. 4, no 10, 5691-5697 p.Article in journal (Refereed) Published
Abstract [en]

Density functional theory (DFT) calculations have been employed to explore the gas-sensing mechanisms of NiO (100) surface on the basis of energetic and electronic properties. We have calculated the adsorption energies of NO2, H2S, and NH3 molecules on NiO (100) surface using GGA+U method. The calculated results suggest that the interaction of NO2 molecule with NiO surface becomes stronger and contributes more extra peaks within the band gap as the coverage increases. The band gap of H2S-adsorbed systems decrease with the increase in coverage up to 0.5 ML and the band gap does not change at 1 ML because H2S molecules are repelled from the surface. In case of NH3 molecular adsorption, the adsorption energy has been increased with the increase in coverage and the band gap is directly related to the adsorption energy. Charge transfer mechanism between the gas molecule and the NiO surface has been illustrated by the Bader analysis and plotting isosurface charge distribution. It is also found that that work function of the surfaces shows different behavior with different adsorbed gases and their coverage. The work function of NO2 gas adsorption has a hill-shaped behavior, whereas H2S adsorption has a valley-shaped behavior. The work function of NH3 adsorption decreases with the increase in coverage. On the basis of our calculations, we can have a better understanding of the gas-sensing mechanism of NiO (100) surface toward NO2, H2S, and NH3 gases.

Place, publisher, year, edition, pages
2012. Vol. 4, no 10, 5691-5697 p.
Keyword [en]
gas sensing, NiO (100) surface, density functional theory (DFT), conductivity
National Category
Physical Sciences
URN: urn:nbn:se:kth:diva-106139DOI: 10.1021/am3016894ISI: 000310109000084ScopusID: 2-s2.0-84867755515OAI: diva2:573371
Swedish Research Council
Available from: 2012-11-30 Created: 2012-11-29 Last updated: 2014-06-03Bibliographically approved

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