Facet effect on CO2 adsorption, dissociation and hydrogenation over Fe catalysts

Insight from DFT

Haozhi Wang, Xiaowa Nie, Yonggang Chen, Xinwen Guo, Chunshan Song

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

Periodic density functional theory (DFT) calculations were performed to investigate the facet effect on CO2 adsorption, dissociation and hydrogenation over Fe catalysts. The energetically most stable configurations of CO2 and H2 adsorption over different Fe facets were identified from which we observed that CO2 adsorption on Fe(211) and Fe(111) is much stronger than other facets, indicating more sufficient activation of CO2 on these two surfaces. CO2 adsorption stability was found to be impacted by the surface coverage of H∗on these Fe facets, showing that when surface H∗coverage exceeds to certain percentage, CO2 adsorption is largely weakened whilst the electrons transfer from the Fe surface to CO2 becomes decreased. These results suggest that an appropriate H2-CO2 co-adsorption equilibrium is important for effective activation of reactants. Based on the examination of CO2 dissociation and hydrogenation on these Fe facets, the Fe(111) is potentially the most active facet for CO2 conversion due to a lower barrier for HCOO∗formation via CO2 hydrogenation while this facet is also catalytically more active for activating CO2. Fe(110) and Fe(100) exhibit more facile ability to dissociate CO2 to CO∗while kinetically competitive formation of CO∗and HCOO∗was observed over Fe(211). The present work demonstrates that the facet of Fe catalysts can impact the molecular adsorption, activation and conversion path in CO2 hydrogenation and thus can alter the product selectivity.

Original languageEnglish (US)
Pages (from-to)160-170
Number of pages11
JournalJournal of CO2 Utilization
Volume26
DOIs
StatePublished - Jul 1 2018

Fingerprint

Hydrogenation
Density functional theory
catalyst
adsorption
Adsorption
Catalysts
Chemical activation
effect
electron
Electrons

All Science Journal Classification (ASJC) codes

  • Chemical Engineering (miscellaneous)
  • Waste Management and Disposal
  • Process Chemistry and Technology

Cite this

Wang, Haozhi ; Nie, Xiaowa ; Chen, Yonggang ; Guo, Xinwen ; Song, Chunshan. / Facet effect on CO2 adsorption, dissociation and hydrogenation over Fe catalysts : Insight from DFT. In: Journal of CO2 Utilization. 2018 ; Vol. 26. pp. 160-170.
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abstract = "Periodic density functional theory (DFT) calculations were performed to investigate the facet effect on CO2 adsorption, dissociation and hydrogenation over Fe catalysts. The energetically most stable configurations of CO2 and H2 adsorption over different Fe facets were identified from which we observed that CO2 adsorption on Fe(211) and Fe(111) is much stronger than other facets, indicating more sufficient activation of CO2 on these two surfaces. CO2 adsorption stability was found to be impacted by the surface coverage of H∗on these Fe facets, showing that when surface H∗coverage exceeds to certain percentage, CO2 adsorption is largely weakened whilst the electrons transfer from the Fe surface to CO2 becomes decreased. These results suggest that an appropriate H2-CO2 co-adsorption equilibrium is important for effective activation of reactants. Based on the examination of CO2 dissociation and hydrogenation on these Fe facets, the Fe(111) is potentially the most active facet for CO2 conversion due to a lower barrier for HCOO∗formation via CO2 hydrogenation while this facet is also catalytically more active for activating CO2. Fe(110) and Fe(100) exhibit more facile ability to dissociate CO2 to CO∗while kinetically competitive formation of CO∗and HCOO∗was observed over Fe(211). The present work demonstrates that the facet of Fe catalysts can impact the molecular adsorption, activation and conversion path in CO2 hydrogenation and thus can alter the product selectivity.",
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Facet effect on CO2 adsorption, dissociation and hydrogenation over Fe catalysts : Insight from DFT. / Wang, Haozhi; Nie, Xiaowa; Chen, Yonggang; Guo, Xinwen; Song, Chunshan.

In: Journal of CO2 Utilization, Vol. 26, 01.07.2018, p. 160-170.

Research output: Contribution to journalArticle

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T1 - Facet effect on CO2 adsorption, dissociation and hydrogenation over Fe catalysts

T2 - Insight from DFT

AU - Wang, Haozhi

AU - Nie, Xiaowa

AU - Chen, Yonggang

AU - Guo, Xinwen

AU - Song, Chunshan

PY - 2018/7/1

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