Dynamic Active Sites in Electrocatalysis

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hdl_144251.pdf (4.76 MB)
  (Published version)

Date

2024

Authors

Ning, M.
Wang, S.
Wan, J.
Xi, Z.
Chen, Q.
Sun, Y.
Li, H.
Ma, T.
Jin, H.
Jin, H.

Editors

Advisors

Journal Title

Journal ISSN

Volume Title

Type:

Journal article

Citation

Angewandte Chemie International Edition, 2024; 63(50):e202415794-1-e202415794-17

Statement of Responsibility

Minghui Ning, Sangni Wang, Jun Wan, Zichao Xi, Qiao Chen, Yuanmiao Sun, Hui Li, Tianyi Ma, and Huanyu Jin

Conference Name

DOI

10.1002/anie.202415794

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.

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Dissertation Note

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Description

Version of record online: October 31, 2024

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© 2024 The Authors. Angewandte Chemie International Edition published by Wiley-VCH GmbH. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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Grant ID

http://purl.org/au-research/grants/arc/FT210100298
 http://purl.org/au-research/grants/arc/DP220100603
 http://purl.org/au-research/grants/arc/LP210200504
 http://purl.org/au-research/grants/arc/LP220100088
 http://purl.org/au-research/grants/arc/LP230200897
 http://purl.org/au-research/grants/arc/IH240100009

Published Version

https://doi.org/10.1002/anie.202415794

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Persistent link to this record

https://hdl.handle.net/2440/144251