Dynamic Active Sites in Electrocatalysis
Abstract: In‐depth understanding of the real‐time behaviors of active sites during electrocatalysis is essential for the advancement of sustainable energy conversion. Recently, the concept of dynamic active sites has been recognized as a potent approach for creating self‐adaptive electrocatalysts that can address a variety of electrocatalytic reactions, outperforming traditional electrocatalysts with static active sites. Nonetheless, the comprehension of the underlying principles that guide the engineering of dynamic active sites is presently insufficient. In this review, we systematically analyze the fundamentals of dynamic active sites for electrocatalysis and consider important future directions for this emerging field. We reveal that dynamic behaviors and reversibility are two crucial factors that influence electrocatalytic performance. By reviewing recent advances in dynamic active sites, we conclude that implementing dynamic electrocatalysis through variable reaction environments, correlating the model of dynamic evolution with catalytic properties, and developing localized and ultrafast in situ/operando techniques are keys to designing high‐performance dynamic electrocatalysts. This review paves the way to the development of the next‐generation electrocatalyst and the universal theory for both dynamic and static active sites.
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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Online-Ressource
- Language
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Englisch
- Bibliographic citation
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Dynamic Active Sites in Electrocatalysis ; day:31 ; month:10 ; year:2024 ; extent:18
Angewandte Chemie ; (31.10.2024) (gesamt 18)
- Creator
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Ning, Minghui
Wang, Sangni
Wan, Jun
Xi, Zichao
Chen, Qiao
Sun, Yuanmiao
Li, Hui
Ma, Tianyi
Jin, Huanyu
- DOI
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10.1002/ange.202415794
- URN
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urn:nbn:de:101:1-2411011312206.295761383649
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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15.08.2025, 7:23 AM CEST
Data provider
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Ning, Minghui
- Wang, Sangni
- Wan, Jun
- Xi, Zichao
- Chen, Qiao
- Sun, Yuanmiao
- Li, Hui
- Ma, Tianyi
- Jin, Huanyu
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