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Unraveling Oxygen Evolution on Iron-Doped β-Nickel Oxyhydroxide: The Key Role of Highly Active Molecular-like Sites

Martirez, John Mark P., Carter, Emily A.·2019·Journal of the American Chemical Society

Abstract

The active site for electrocatalytic water oxidation on the highly active iron(Fe)-doped β-nickel oxyhydroxide (β-NiOOH) electrocatalyst is hotly debated. Here we characterize the oxygen evolution reaction (OER) activity of an unexplored facet of this material with first-principles quantum mechanics. We show that molecular-like 4-fold-lattice-oxygen-coordinated metal sites on the (1̅21̅1) surface may very well be the key active sites in the electrocatalysis. The predicted OER overpotential (η OER ) for a Fe-centered pathway is reduced by 0.34 V relative to a Ni-centered one, consistent with experiments. We further predict unprecedented, near-quantitative lower bounds for the η OER, of 0.48 and 0.14 V for pure and Fe-doped β-NiOOH(1̅21̅1), respectively. Our hybrid density functional theory calculations favor a heretofore unpredicted pathway involving an iron(IV)-oxo species, Fe 4+ =O. We posit that an iron(IV)-oxo intermediate that stably forms under a low-coordination environment and the favorable discharge of Ni 3+ to Ni 2+ are key to β-NiOOH’s OER activity.

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Metadata

Authors
Martirez, J. M. P., & Carter, E. A.
Venue
Journal of the American Chemical Society
Published
2018-12-13
Volume
141
Issue
1
Pages
693-705
ISSN
  • 0002-7863 (ISSN-L)
  • 1520-5126
OpenAlex
W2904535813
Cited by
250
References
2
FWCI
5.60
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Unraveling Oxygen Evolution on Iron-Doped β-Nickel Oxyhydroxide: The Key Role of Highly Active Molecular-like Sites. https://app.cochat.ai/papers/10.1021/jacs.8b12386
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Martirez, J. M. P., & Carter, E. A. (2019). Unraveling Oxygen Evolution on Iron-Doped β-Nickel Oxyhydroxide: The Key Role of Highly Active Molecular-like Sites. Journal of the American Chemical Society. https://doi.org/10.1021/jacs.8b12386

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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