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Cited by 188

The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

Perspective—Towards Establishing Apparent Hydrogen Binding Energy as the Descriptor for Hydrogen Oxidation/Evolution Reactions

Open access
Zheng, Jie, Nash, Jared, Xu, Bingjun, Yan, Yushan·2018·Journal of The Electrochemical Society

Abstract

This perspective article formalizes our proposal that the apparent hydrogen binding energy (HBE app ), which takes into account of the water adsorption energy as well as the intrinsic hydrogen binding energy (HBE) on metal surfaces, is the descriptor for hydrogen oxidation/evolution reactions (HOR/HERs). We show that the HBE app , not HBE, is pH dependent and can be determined from the underpotential-deposited hydrogen peaks in cyclic voltammograms for platinum group metals including Pt, Ir, Pd, and Rh, and the decrease of their HOR/HER activities with pH is the result of a strengthened HBE app due to a weakened water adsorption. Also discussed are the needs of further experimental and theoretical work to prove this hypothesis.

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Metadata

Authors
Zheng, J., Nash, J., Xu, B., & Yan, Y.
Venue
Journal of The Electrochemical Society
Published
2018
Volume
165
Issue
2
Pages
H27-H29
ISSN
  • 0013-4651 (ISSN-L)
  • 1945-7111
OpenAlex
W2794335936
Cited by
188
References
4
FWCI
3.05
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Perspective—Towards Establishing Apparent Hydrogen Binding Energy as the Descriptor for Hydrogen Oxidation/Evolution Reactions. https://app.cochat.ai/papers/10.1149/2.0881802jes
The paper
Zheng, J., Nash, J., Xu, B., & Yan, Y. (2018). Perspective—Towards Establishing Apparent Hydrogen Binding Energy as the Descriptor for Hydrogen Oxidation/Evolution Reactions. Journal of The Electrochemical Society. https://doi.org/10.1149/2.0881802jes

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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.