• 文献标题:   Density functional theory study of nitrogen-doped graphene as a high-performance electrocatalyst for CO2RR
  • 文献类型:   Article
  • 作  者:   LIU AM, GUAN WX, WU KF, REN XF, GAO LG, MA TL
  • 作者关键词:   co2rr, graphene, dft, theoretical guidance
  • 出版物名称:   APPLIED SURFACE SCIENCE
  • ISSN:   0169-4332 EI 1873-5584
  • 通讯作者地址:  
  • 被引频次:   19
  • DOI:   10.1016/j.apsusc.2020.148319
  • 出版年:   2021

▎ 摘  要

Metal-free catalysts for the CO2 reduction reaction (CO2RR) is a research hotspot to enhance CO2 utilization as a way to counteract global warming. Nitrogen-doped graphene attracts attention because of the abundance of nitrogen and promising catalytic performance of graphene. In this work, we investigated various N-doped configurations and their corresponding catalytic abilities for CO2RR to ethanol via spin-polarized density functional theory (DFT) computations. The final results indicate that site 43 of binary-N-doped graphene had high CO2RR activity, stable adsorption of reactants, and good activation of CO2. The catalysis process demonstrated features of low free energy barriers in the rising stage and obvious facilitation of the potential-limiting step. Compared with a catalyst-free process, it can effectively improve the reaction activity. The results provide theoretical guidance for the design and preparation of high-performance CO2RR catalysts.