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Syngas molecules as probes for defects in 2D hexagonal boron nitride: their adsorption and vibrations.
Jiang, Tao; Le, Duy; Rawal, Takat B; Rahman, Talat S.
Afiliação
  • Jiang T; Department of Physics, University of Central Florida, Orlando, FL 32816, USA. talat.rahman@ucf.edu.
Phys Chem Chem Phys ; 23(13): 7988-8001, 2021 Apr 07.
Article em En | MEDLINE | ID: mdl-33475121
ABSTRACT
Single-layer, defect-laden hexagonal boron nitride (dh-BN) is attracting a great deal of attention for its diverse applications catalysis on the one hand, and single photon emission on the other. As possible probes for identifying some common defects in single-layer h-BN, we present results of ab initio calculations for the adsorption and vibrational characteristics of syngas molecules (H2, CO, CO2) on dh-BN containing one of four types of defects nitrogen vacancy (VN), boron vacancy (VB), Stone-Wales defect (SW), and nitrogen substituted by boron (BN). Through a comparative examination of adsorption features, charge transfer, electronic structure, and vibrational spectrum, we obtain a deep understanding of the interaction of these molecules with dh-BN and the role of the defect states. We find that while CO, CO2 and atomic hydrogen chemisorb, molecular H2 physisorbs on dh-BN with the four considered defect types. VN and VB show strong affinity for CO and CO2 since the defect states induced by them lie close to the Fermi level. SW does not favor adsorption of these small molecules, as the process for each is endothermic. In the case of BN, CO adsorbs strongly but CO2 only weakly. Vibrational frequencies of notable modes localized at the adsorbed molecules are analyzed and suggested as measures for identification of the defect type. Through a simple comparison of adsorption characteristics of the molecules on these defects, we propose dh-BN with VN to be a good catalyst candidate for CO2 hydrogenation.

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2021 Tipo de documento: Article