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Linking the Dynamic Chemical State of Catalysts with the Product Profile of Electrocatalytic CO 2 Reduction
Author(s) -
Wang Jiali,
Tan HuiYing,
Zhu Yanping,
Chu Hang,
Chen Hao Ming
Publication year - 2021
Publication title -
angewandte chemie international edition
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 5.831
H-Index - 550
eISSN - 1521-3773
pISSN - 1433-7851
DOI - 10.1002/anie.202017181
Subject(s) - selectivity , catalysis , electrochemistry , reduction (mathematics) , product (mathematics) , chemical state , state (computer science) , chemistry , nanotechnology , process (computing) , chemical reaction , materials science , computer science , chemical physics , chemical engineering , electrode , mathematics , organic chemistry , engineering , algorithm , geometry , x ray photoelectron spectroscopy , operating system
The promoted activity and enhanced selectivity of electrocatalysts is commonly ascribed to specific structural features such as surface facets, morphology, and atomic defects. However, unraveling the factors that really govern the direct electrochemical reduction of CO 2 (CO 2 RR) is still very challenging since the surface state of electrocatalysts is dynamic and difficult to predict under working conditions. Moreover, theoretical predictions from the viewpoint of thermodynamics alone often fail to specify the actual configuration of a catalyst for the dynamic CO 2 RR process. Herein, we re‐survey recent studies with the emphasis on revealing the dynamic chemical state of Cu sites under CO 2 RR conditions extracted by in situ/operando characterizations, and further validate a critical link between the chemical state of Cu and the product profile of CO 2 RR. This point of view provides a generalizable concept of dynamic chemical‐state‐driven CO 2 RR selectivity that offers an inspiration in both fundamental understanding and efficient electrocatalysts design.