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Cited by 600

The DOI matches its Crossref record; 195 of the 195 references it cites were found in a registry or an index.

The Sabatier Principle in Electrocatalysis: Basics, Limitations, and Extensions

Open access
Ooka, Hideshi, Huang, Jun, Exner, Kai S.·2021·Frontiers in Energy Research

Abstract

The Sabatier principle, which states that the binding energy between the catalyst and the reactant should be neither too strong nor too weak, has been widely used as the key criterion in designing and screening electrocatalytic materials necessary to promote the sustainability of our society. The widespread success of density functional theory (DFT) has made binding energy calculations a routine practice, turning the Sabatier principle from an empirical principle into a quantitative predictive tool. Given its importance in electrocatalysis, we have attempted to introduce the reader to the fundamental concepts of the Sabatier principle with a highlight on the limitations and challenges in its current thermodynamic context. The Sabatier principle is situated at the heart of catalyst development, and moving beyond its current thermodynamic framework is expected to promote the identification of next-generation electrocatalysts.

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Metadata

Authors
Ooka, H., Huang, J., & Exner, K. S.
Venue
Frontiers in Energy Research
Published
2021-05-04
Volume
9
ISSN
2296-598X (ISSN-L)
OpenAlex
W3158356684
Cited by
600
References
195
FWCI
13.02
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: The Sabatier Principle in Electrocatalysis: Basics, Limitations, and Extensions. https://app.cochat.ai/papers/10.3389/fenrg.2021.654460
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Ooka, H., Huang, J., & Exner, K. S. (2021). The Sabatier Principle in Electrocatalysis: Basics, Limitations, and Extensions. Frontiers in Energy Research. https://doi.org/10.3389/fenrg.2021.654460

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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.