• 文献标题:   Computational screening of TMN4 based graphene-like BC6N for CO2 electroreduction to C-1 hydrocarbon products
  • 文献类型:   Article
  • 作  者:   XU F, WANG XH, LIU X, LI CY, FAN GH, XU H
  • 作者关键词:   co2 electrocatalytic reduction reaction, singleatom catalyst, density functional theory, electrocatalyst
  • 出版物名称:   MOLECULAR CATALYSIS
  • ISSN:   2468-8231
  • 通讯作者地址:  
  • 被引频次:   2
  • DOI:   10.1016/j.mcat.2022.112571 EA AUG 2022
  • 出版年:   2022

▎ 摘  要

Graphene-like BC6N monolayers supported with TMN4 (TM = Sc similar to 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 C-1 products. The potential origin of electrocatalytic performance shows the descriptors of E-b (*CO) and E-b (*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.