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Cited by 700

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Influence of iron doping on tetravalent nickel content in catalytic oxygen evolving films

Open access
Li, Nancy, Bediako, D. Kwabena, Hadt, Ryan G., Hayes, Dugan, Kempa, Thomas J., von Cube, Felix, Bell, David C., Chen, Lin X., Nocera, Daniel G.·2017·Proceedings of the National Academy of Sciences

Abstract

Significance: Iron-doped nickel oxide films are the most active nonnoble metal oxygen evolution reaction (OER) catalysts in alkaline electrolyte. Since Corrigan’s original discovery of enhanced activity with Fe doping in nickel oxides, the chemical basis for this synergy remains unclear. Recent studies suggest iron to assume a high valent oxidation state, thus promoting OER. We provide evidence for an alternative role of Fe 3+as a Lewis acid in the host nickel oxide. We observe that Fe 3+promotes the formation of Ni 4+, which leads to enhanced catalytic activity. This result is consistent with Fe 3+to be one of the strongest Lewis acidic metals by any measure of Lewis acidity, including hard–soft acid base theory, metal ion pK a s, and chemical inertness.

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Crossref · 10.1073/pnas.1620787114

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Metadata

Authors
Li, N., Bediako, D. K., Hadt, R. G., Hayes, D., Kempa, T. J., von Cube, F., Bell, D. C., Chen, L. X., & Nocera, D. G.
Venue
Proceedings of the National Academy of Sciences
Published
2017-01-30
Volume
114
Issue
7
Pages
1486-1491
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W2580932403
Cited by
700
References
3
FWCI
16.22
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Influence of iron doping on tetravalent nickel content in catalytic oxygen evolving films. https://app.cochat.ai/papers/10.1073/pnas.1620787114
The paper
Li, N., Bediako, D. K., Hadt, R. G., Hayes, D., Kempa, T. J., von Cube, F., Bell, D. C., Chen, L. X., & Nocera, D. G. (2017). Influence of iron doping on tetravalent nickel content in catalytic oxygen evolving films. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.1620787114

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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.