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Theoretical Elucidation of the Competitive Electro-oxidation Mechanisms of Formic Acid on Pt(111)

Gao, Wang, Keith, John A., Anton, Josef, Jacob, Timo·2010·Journal of the American Chemical Society

Abstract

The mechanisms of formic acid (HCOOH) oxidation on Pt(111) under electrochemical conditions have been studied using density functional theory and then compared with the analogous gas-phase reaction. Results show that HCOOH oxidation under a water-covered surface behaves substantially differently than in the gas phase or using a solvation model involving only a few water molecules. Using these models, we evaluated the detailed reaction process, including energies and geometric structures of intermediates and transition states under the influence of different solvation models and electrode potentials. Our calculations indicate that this potential-dependent electrochemical oxidation proceeds via a multipath mechanism (involving both the adsorbed HCOOH and HCOO intermediates), a result succinctly rationalizing conflicting experimental observations. Moreover, this study highlights how subtle changes in electrochemical reaction environments can influence (electro)catalysis.

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Metadata

Authors
Gao, W., Keith, J. A., Anton, J., & Jacob, T.
Venue
Journal of the American Chemical Society
Published
2010-11-30
Volume
132
Issue
51
Pages
18377-18385
ISSN
  • 0002-7863 (ISSN-L)
  • 1520-5126
OpenAlex
W2314638241
Cited by
224
References
1
FWCI
6.67
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Theoretical Elucidation of the Competitive Electro-oxidation Mechanisms of Formic Acid on Pt(111). https://app.cochat.ai/papers/10.1021/ja1083317
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Gao, W., Keith, J. A., Anton, J., & Jacob, T. (2010). Theoretical Elucidation of the Competitive Electro-oxidation Mechanisms of Formic Acid on Pt(111). Journal of the American Chemical Society. https://doi.org/10.1021/ja1083317

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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.