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DFT based study of transition metal nano-clusters for electrochemical NH3 production

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Howalt, J. G., Bligaard, T., Rossmeisl, J., Vegge, T.·2013·Physical Chemistry Chemical Physics

Abstract

Theoretical studies of the possibility of producing ammonia electrochemically at ambient temperature and pressure without direct N2 dissociation are presented. Density functional theory calculations were used in combination with the computational standard hydrogen electrode to calculate the free energy profile for the reduction of N2 admolecules and N adatoms on transition metal nanoclusters in contact with an acidic electrolyte. This work has established linear scaling relations for the dissociative reaction intermediates NH, NH2, and NH3. In addition, linear scaling relations for the associative reaction intermediates N2H, N2H2, and N2H3 have been determined. Furthermore, correlations between the adsorption energies of N, N2, and H have been established. These scaling relations and the free energy corrections are used to establish volcanoes describing the onset potential for electrochemical ammonia production and hence describe the potential determining steps for the electrochemical ammonia production. The competing hydrogen evolution reaction has also been analyzed for comparison.

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Metadata

Authors
Howalt, J. G., Bligaard, T., Rossmeisl, J., & Vegge, T.
Venue
Physical Chemistry Chemical Physics
Published
2013
Volume
15
Issue
20
Pages
7785
ISSN
  • 1463-9076 (ISSN-L)
  • 1463-9084
OpenAlex
W2151165491
Cited by
195
References
4
FWCI
3.17
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: DFT based study of transition metal nano-clusters for electrochemical NH3 production. https://app.cochat.ai/papers/10.1039/c3cp44641g
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Howalt, J. G., Bligaard, T., Rossmeisl, J., & Vegge, T. (2013). DFT based study of transition metal nano-clusters for electrochemical NH3 production. Physical Chemistry Chemical Physics. https://doi.org/10.1039/c3cp44641g

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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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