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Computational screening of TMN4 based graphene-like BC6N for CO2 electroreduction to C1 hydrocarbon products

  • Fang Xu
  • , Xiaohua Wang
  • , Xin Liu
  • , Chenyin Li
  • , Guohong Fan
  • , Hong Xu
  • Anhui University of Technology

Research output: Contribution to journalArticlepeer-review

37 Scopus citations

Abstract

Graphene-like BC6N monolayers supported with TMN4 (TM = Sc ∼ Zn) (TMN4@BC6N) centers, which can provide various coordination environment, was studied to explore its performance as efficient CO2RR catalysts through density functional theory (DFT). High-throughput screening based on structural stability and reaction pathways identified the most promising catalyst candidates. According to the optimal path and overpotential analysis, five TMN4@BC6N (TM = Cr, Mn, Fe, Co and Zn) systems with low limiting potentials exhibit high CO2RR activity towards C1 products. The potential origin of electrocatalytic performance shows the descriptors of Eb (*CO) and Eb (*OH) act as performance indicators. It is revealed that coordination environment with different charge near the TMN4 active center can modulate the catalytic activity of the catalyst. Overall, this work suggests the novel TMN4@BC6N SAC has potential application prospects in CO2RR and sheds light on designing of new two-dimensional materials with high stability and superior CO2RR activity.

Original languageEnglish
Article number112571
JournalMolecular Catalysis
Volume530
DOIs
StatePublished - Sep 2022
Externally publishedYes

Keywords

  • CO electrocatalytic reduction reaction
  • Density functional theory
  • Electrocatalyst
  • Single-atom catalyst

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