Theoretical Optimization of Compositions of High-Entropy Oxides for the Oxygen Evolution Reaction**

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Theoretical Optimization of Compositions of High-Entropy Oxides for the Oxygen Evolution Reaction**. / Svane, Katrine L.; Rossmeisl, Jan.

I: Angewandte Chemie - International Edition, Bind 61, Nr. 19, e202201146, 2022.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

Harvard

Svane, KL & Rossmeisl, J 2022, 'Theoretical Optimization of Compositions of High-Entropy Oxides for the Oxygen Evolution Reaction**', Angewandte Chemie - International Edition, bind 61, nr. 19, e202201146. https://doi.org/10.1002/anie.202201146

APA

Svane, K. L., & Rossmeisl, J. (2022). Theoretical Optimization of Compositions of High-Entropy Oxides for the Oxygen Evolution Reaction**. Angewandte Chemie - International Edition, 61(19), [e202201146]. https://doi.org/10.1002/anie.202201146

Vancouver

Svane KL, Rossmeisl J. Theoretical Optimization of Compositions of High-Entropy Oxides for the Oxygen Evolution Reaction**. Angewandte Chemie - International Edition. 2022;61(19). e202201146. https://doi.org/10.1002/anie.202201146

Author

Svane, Katrine L. ; Rossmeisl, Jan. / Theoretical Optimization of Compositions of High-Entropy Oxides for the Oxygen Evolution Reaction**. I: Angewandte Chemie - International Edition. 2022 ; Bind 61, Nr. 19.

Bibtex

@article{00c2c2189a084012948248da6b64ccd1,
title = "Theoretical Optimization of Compositions of High-Entropy Oxides for the Oxygen Evolution Reaction**",
abstract = "High-entropy oxides are oxides consisting of five or more metals incorporated in a single lattice, and the large composition space suggests that properties of interest can be readily optimised. For applications within catalysis, the different local atomic environments result in a distribution of binding energies for the catalytic intermediates. Using the oxygen evolution reaction on the rutile (110) surface as example, here we outline a strategy for the theoretical optimization of the composition. Density functional theory calculations performed for a limited number of sites are used to fit a model that predicts the reaction energies for all possible local atomic environments. Two reaction pathways are considered; the conventional pathway on the coordinatively unsaturated sites and an alternative pathway involving transfer of protons to a bridging oxygen. An explicit model of the surface is constructed to describe the interdependency of the two pathways and identify the composition that maximizes catalytic activity.",
keywords = "Density Functional Calculations, Electrochemistry, High-Entropy Oxides, Oxygen Evolution Reaction",
author = "Svane, {Katrine L.} and Jan Rossmeisl",
note = "Funding Information: This work is supported by the Danish National Research Foundation Center for High‐Entropy Alloy Catalysis (CHEAC) DNRF‐149. Publisher Copyright: {\textcopyright} 2022 The Authors. Angewandte Chemie International Edition published by Wiley-VCH GmbH",
year = "2022",
doi = "10.1002/anie.202201146",
language = "English",
volume = "61",
journal = "Angewandte Chemie International Edition",
issn = "1433-7851",
publisher = "Wiley-VCH Verlag GmbH & Co. KGaA",
number = "19",

}

RIS

TY - JOUR

T1 - Theoretical Optimization of Compositions of High-Entropy Oxides for the Oxygen Evolution Reaction**

AU - Svane, Katrine L.

AU - Rossmeisl, Jan

N1 - Funding Information: This work is supported by the Danish National Research Foundation Center for High‐Entropy Alloy Catalysis (CHEAC) DNRF‐149. Publisher Copyright: © 2022 The Authors. Angewandte Chemie International Edition published by Wiley-VCH GmbH

PY - 2022

Y1 - 2022

N2 - High-entropy oxides are oxides consisting of five or more metals incorporated in a single lattice, and the large composition space suggests that properties of interest can be readily optimised. For applications within catalysis, the different local atomic environments result in a distribution of binding energies for the catalytic intermediates. Using the oxygen evolution reaction on the rutile (110) surface as example, here we outline a strategy for the theoretical optimization of the composition. Density functional theory calculations performed for a limited number of sites are used to fit a model that predicts the reaction energies for all possible local atomic environments. Two reaction pathways are considered; the conventional pathway on the coordinatively unsaturated sites and an alternative pathway involving transfer of protons to a bridging oxygen. An explicit model of the surface is constructed to describe the interdependency of the two pathways and identify the composition that maximizes catalytic activity.

AB - High-entropy oxides are oxides consisting of five or more metals incorporated in a single lattice, and the large composition space suggests that properties of interest can be readily optimised. For applications within catalysis, the different local atomic environments result in a distribution of binding energies for the catalytic intermediates. Using the oxygen evolution reaction on the rutile (110) surface as example, here we outline a strategy for the theoretical optimization of the composition. Density functional theory calculations performed for a limited number of sites are used to fit a model that predicts the reaction energies for all possible local atomic environments. Two reaction pathways are considered; the conventional pathway on the coordinatively unsaturated sites and an alternative pathway involving transfer of protons to a bridging oxygen. An explicit model of the surface is constructed to describe the interdependency of the two pathways and identify the composition that maximizes catalytic activity.

KW - Density Functional Calculations

KW - Electrochemistry

KW - High-Entropy Oxides

KW - Oxygen Evolution Reaction

U2 - 10.1002/anie.202201146

DO - 10.1002/anie.202201146

M3 - Journal article

C2 - 35225378

AN - SCOPUS:85126043945

VL - 61

JO - Angewandte Chemie International Edition

JF - Angewandte Chemie International Edition

SN - 1433-7851

IS - 19

M1 - e202201146

ER -

ID: 301367478