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Cited by 317

The DOI matches its Crossref record; 13 of the 13 references it cites were found in a registry or an index.

Single atom is not alone: Metal–support interactions in single-atom catalysis

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Qi, Kun, Chhowalla, Manish, Voiry, Damien·2020·Materials Today

Abstract

Abstract Single-atom catalysts (SACs) have recently attracted interest in the fields of heterogeneous catalysis and electrocatalysis due to the enhancement in intrinsic activity and selectivity through optimized exposure of the active sites. Synthesis of SACs and research into their behavior have helped to elucidate the kinetics and thermodynamics of several key catalytic reactions. However, understanding the interactions between the metal single-atom active sites and the support matrix represents a notable challenge facing the development of atomically dispersed catalysts. Such interactions are essential in optimizing the reaction kinetics and maximizing the catalytic performance. This review explores the current state of the art in single-atom catalysis and critically analyzes the current understanding of metal–support interactions. Finally, we discuss the current challenges and future opportunities for development in the field.

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Metadata

Authors
Qi, K., Chhowalla, M., & Voiry, D.
Venue
Materials Today
Publisher
Elsevier BV
Published
2020-11
Volume
40
Pages
173-192
ISSN
1369-7021 (ISSN-L)
OpenAlex
W3046425220
Cited by
317
References
13
FWCI
15.01
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Single atom is not alone: Metal–support interactions in single-atom catalysis. https://app.cochat.ai/papers/10.1016/j.mattod.2020.07.002
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Qi, K., Chhowalla, M., & Voiry, D. (2020). Single atom is not alone: Metal–support interactions in single-atom catalysis. Materials Today. https://doi.org/10.1016/j.mattod.2020.07.002

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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.