Bridging oxide thermodynamics and site-blocking: a computational study of ORR activity on platinum nanoparticles
Bridging oxide thermodynamics and site-blocking: a computational study of ORR activity on platinum nanoparticles
The oxygen reduction reaction (ORR) is a key reaction in fuel cells and metal–air batteries, where high overpotentials remain a critical challenge despite extensive research. While experimental studies have revealed the importance of surface oxidation, a unified computational framework capable of simultaneously capturing both the thermodynamic aspects of rate-determining steps and the kinetic effects of site-blocking on the overpotential has remained elusive. In this work, we present a computational approach that bridges this gap by combining grand-canonical Monte Carlo simulations with the MACE-MP-0 foundation model to study the ORR on experimentally reconstructed Pt nanoparticles. This framework enables the systematic investigation of oxidation effects across multiple scales, from atomic-level place-exchange mechanisms to macroscopic kinetic behavior. Our simulations reveal a strong dependence of system thermodynamics on oxygen coverage and successfully predict the place-exchange mechanism onset at 1.06 V vs SHE, in agreement with experimental observations. Through established scaling relations and deletion energy analysis, we quantify both the rate-determining step and the distribution of reactive sites on the oxidized surface, providing insight into the complex interplay between surface oxidation and ORR activity. By linking our results with both theoretical and experimental benchmarks on multiple points, we ensure the viability of our assumptions and approach. Using a simplified kinetic model derived from our simulations, we demonstrate agreement with core experimental observations, illustrating how computational approaches based on foundation models can enhance our understanding of catalytic processes. This work not only provides a comprehensive understanding of oxide effects in ORR but also establishes a versatile computational methodology that can be readily extended to study similar electrochemical processes on other catalytic systems, offering a powerful tool for rational catalyst design.
DFT, MACE-MP-0, Monte Carlo, ORR, nanoparticles, overpotential, oxidation, site-blocking
5674-5682
Demeyere, Tom
f8ede386-230e-4329-a235-3abf78011d0e
Ellaby, Tom
2a52e4d5-373b-4038-9e55-3c0fd5bb52dc
Sarwar, Misbah
30eba808-2b5c-4677-b1ba-9d54e8d03e83
Thompsett, David
2fba717f-67ed-4999-b400-3c3a0681778f
Skylaris, Chris-Kriton
8f593d13-3ace-4558-ba08-04e48211af61
4 April 2025
Demeyere, Tom
f8ede386-230e-4329-a235-3abf78011d0e
Ellaby, Tom
2a52e4d5-373b-4038-9e55-3c0fd5bb52dc
Sarwar, Misbah
30eba808-2b5c-4677-b1ba-9d54e8d03e83
Thompsett, David
2fba717f-67ed-4999-b400-3c3a0681778f
Skylaris, Chris-Kriton
8f593d13-3ace-4558-ba08-04e48211af61
Demeyere, Tom, Ellaby, Tom, Sarwar, Misbah, Thompsett, David and Skylaris, Chris-Kriton
(2025)
Bridging oxide thermodynamics and site-blocking: a computational study of ORR activity on platinum nanoparticles.
ACS Catalysis, 15 (7), .
(doi:10.1021/acscatal.5c00321).
Abstract
The oxygen reduction reaction (ORR) is a key reaction in fuel cells and metal–air batteries, where high overpotentials remain a critical challenge despite extensive research. While experimental studies have revealed the importance of surface oxidation, a unified computational framework capable of simultaneously capturing both the thermodynamic aspects of rate-determining steps and the kinetic effects of site-blocking on the overpotential has remained elusive. In this work, we present a computational approach that bridges this gap by combining grand-canonical Monte Carlo simulations with the MACE-MP-0 foundation model to study the ORR on experimentally reconstructed Pt nanoparticles. This framework enables the systematic investigation of oxidation effects across multiple scales, from atomic-level place-exchange mechanisms to macroscopic kinetic behavior. Our simulations reveal a strong dependence of system thermodynamics on oxygen coverage and successfully predict the place-exchange mechanism onset at 1.06 V vs SHE, in agreement with experimental observations. Through established scaling relations and deletion energy analysis, we quantify both the rate-determining step and the distribution of reactive sites on the oxidized surface, providing insight into the complex interplay between surface oxidation and ORR activity. By linking our results with both theoretical and experimental benchmarks on multiple points, we ensure the viability of our assumptions and approach. Using a simplified kinetic model derived from our simulations, we demonstrate agreement with core experimental observations, illustrating how computational approaches based on foundation models can enhance our understanding of catalytic processes. This work not only provides a comprehensive understanding of oxide effects in ORR but also establishes a versatile computational methodology that can be readily extended to study similar electrochemical processes on other catalytic systems, offering a powerful tool for rational catalyst design.
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demeyere-et-al-2025-bridging-oxide-thermodynamics-and-site-blocking-a-computational-study-of-orr-activity-on-platinum
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More information
Accepted/In Press date: 17 March 2025
e-pub ahead of print date: 21 March 2025
Published date: 4 April 2025
Keywords:
DFT, MACE-MP-0, Monte Carlo, ORR, nanoparticles, overpotential, oxidation, site-blocking
Identifiers
Local EPrints ID: 500589
URI: http://eprints.soton.ac.uk/id/eprint/500589
ISSN: 2155-5435
PURE UUID: a10023ce-f67b-4a29-815e-5a36a8f9ae1a
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Date deposited: 06 May 2025 16:56
Last modified: 22 Aug 2025 02:30
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Contributors
Author:
Tom Demeyere
Author:
Tom Ellaby
Author:
Misbah Sarwar
Author:
David Thompsett
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