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Cited by 319

The DOI matches its Crossref record; 240 of the 240 references it cites were found in a registry or an index.

Microenvironment Engineering of Single/Dual‐Atom Catalysts for Electrocatalytic Application

Gao, Yun, Liu, Baozhong, Wang, Dingsheng·2023·Advanced Materials

Abstract

Single/dual‐metal atoms supported on carbon matrix can be modulated by coordination structure and neighboring active sites. Precisely designing the geometric and electronic structure and uncovering the structure–property relationships of single/dual‐metal atoms confront with grand challenges. Herein, this review summarizes the latest progress in microenvironment engineering of single/dual‐atom active sites via a comprehensive comparison of single‐atom catalyst (SACs) and dual‐atom catalysts (DACs) in term of design principles, modulation strategy, and theoretical understanding of structure–performance correlations. Subsequently, recent advances in several typical electrocatalysis process are discussed to get general understanding of the reaction mechanisms on finely‐tuned SACs and DACs. Finally, full‐scaled summaries of the challenges and prospects are given for microenvironment engineering of SACs and DACs. This review will provide new inspiration on the development of atomically dispersed catalysts for electrocatalytic application.

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Crossref · 10.1002/adma.202209654

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Metadata

Authors
Gao, Y., Liu, B., & Wang, D.
Venue
Advanced Materials
Publisher
Wiley
Published
2023-06-28
Volume
35
Issue
31
Pages
e2209654-e2209654
ISSN
  • 0935-9648 (ISSN-L)
  • 1521-4095
OpenAlex
W4321482866
Cited by
319
References
240
FWCI
14.93
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Microenvironment Engineering of Single/Dual‐Atom Catalysts for Electrocatalytic Application. https://app.cochat.ai/papers/10.1002/adma.202209654
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Gao, Y., Liu, B., & Wang, D. (2023). Microenvironment Engineering of Single/Dual‐Atom Catalysts for Electrocatalytic Application. Advanced Materials. https://doi.org/10.1002/adma.202209654

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.