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The nature of active sites for carbon dioxide electroreduction over oxide-derived copper catalysts.

Dongfang ChengZhi-Jian ZhaoGong ZhangPiaoping YangLulu LiHui GaoSihang LiuXin ChangSai ChenTuo WangGeoffrey A OzinZhi-Pan LiuJinlong Gong
Published in: Nature communications (2021)
The active sites for CO2 electroreduction (CO2R) to multi-carbon (C2+) products over oxide-derived copper (OD-Cu) catalysts are under long-term intense debate. This paper describes the atomic structure motifs for product-specific active sites on OD-Cu catalysts in CO2R. Herein, we describe realistic OD-Cu surface models by simulating the oxide-derived process via the molecular dynamic simulation with neural network (NN) potential. After the analysis of over 150 surface sites through NN potential based high-throughput testing, coupled with density functional theory calculations, three square-like sites for C-C coupling are identified. Among them, Σ3 grain boundary like planar-square sites and convex-square sites are responsible for ethylene production while step-square sites, i.e. n(111) × (100), favor alcohols generation, due to the geometric effect for stabilizing acetaldehyde intermediates and destabilizing Cu-O interactions, which are quantitatively demonstrated by combined theoretical and experimental results. This finding provides fundamental insights into the origin of activity and selectivity over Cu-based catalysts and illustrates the value of our research framework in identifying active sites for complex heterogeneous catalysts.
Keyphrases
  • density functional theory
  • metal organic framework
  • highly efficient
  • high throughput
  • neural network
  • carbon dioxide
  • molecular dynamics
  • transition metal
  • aqueous solution
  • single cell
  • single molecule