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The DOI matches its Crossref record; 14 of the 14 references it cites were found in a registry or an index.

Electronic Metal–Support Interaction of Single‐Atom Catalysts and Applications in Electrocatalysis

Yang, Jiarui, Li, Wenhao, Wang, Dingsheng, Li, Yadong·2020·Advanced Materials

Abstract

The electronic metal–support interaction (EMSI), which acts as a bridge between theoretical electronic study and the design of heterogenous catalysts, has attracted much attention. Utilizing the interaction between the metal and the support is one of the most essential strategies to enhance electrocatalytic efficiency due to structural and synergetic promotion. To date, as the ideal model for realizing EMSI, many types of single‐atom catalysts (SACs) have been developed. The understanding of the electronic interaction on SACs has also been pushed to a higher level. However, systematic theories and operando experiments are seldom reported, and will be necessary to put forward and be carried out, respectively. Herein, the types, characterization, mechanism, and electrocatalytic applications of EMSI are comprehensively summarized and discussed. In addition to the basic information above, the challenges, opportunities, and future development of the EMSI on SACs are also proposed to present an overall view and reference to the later research.

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Metadata

Authors
Yang, J., Li, W., Wang, D., & Li, Y.
Venue
Advanced Materials
Publisher
Wiley
Published
2020-10-30
Volume
32
Issue
49
Pages
e2003300-e2003300
ISSN
  • 0935-9648 (ISSN-L)
  • 1521-4095
OpenAlex
W3095018827
Cited by
824
References
14
FWCI
20.86
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Electronic Metal–Support Interaction of Single‐Atom Catalysts and Applications in Electrocatalysis. https://app.cochat.ai/papers/10.1002/adma.202003300
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Yang, J., Li, W., Wang, D., & Li, Y. (2020). Electronic Metal–Support Interaction of Single‐Atom Catalysts and Applications in Electrocatalysis. Advanced Materials. https://doi.org/10.1002/adma.202003300

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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