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Cited by 537

The DOI matches its Crossref record; 222 of the 222 references it cites were found in a registry or an index.

Understanding the structure-performance relationship of active sites at atomic scale

Li, Runze, Wang, Dingsheng·2022·Nano Research

Abstract

Metal-based atomically dispersed catalysts have attracted more attention because of their excellent catalytic performance and nearly 100% atom utilization. Therefore, it is very important to comprehensively and systematically understand the relationship between catalytic active sites and catalytic performance at atomic scale. Here, we discuss and summarize in detail the key and fundamental factors affecting the active site, and relate them to the catalytic performance. First, we describe the effectiveness of active site design by coordination effects. Then, the role of chemical bonds in the active sites in changing the reaction performance is discussed. In addition, for intermetallic compounds, we explore how the spacing of active atoms affects the catalytic behavior. Moreover, the importance of synergistic effect in catalyst design is further discussed. Finally, the key parameters affecting the catalytic performance at atomic scale are summarized, and the main challenges and development prospects of atomic catalysts in the future are put forward.

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Metadata

Authors
Li, R., & Wang, D.
Venue
Nano Research
Published
2022-06-14
Volume
15
Issue
8
Pages
6888-6923
ISSN
  • 1998-0000 (ISSN-L)
  • 1998-0124
OpenAlex
W4282828102
Cited by
537
References
222
FWCI
34.50
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Understanding the structure-performance relationship of active sites at atomic scale. https://app.cochat.ai/papers/10.1007/s12274-022-4371-x
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Li, R., & Wang, D. (2022). Understanding the structure-performance relationship of active sites at atomic scale. Nano Research. https://doi.org/10.1007/s12274-022-4371-x

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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.