Mainstream and Sidestream Modeling in Oxygen Evolution Electrocatalysis

ConspectusThe oxygen evolution reaction (OER) and oxygen reduction reaction (ORR) are key in numerous electrochemical technologies, such as water electrolyzers, CO<sub>2</sub> electrolyzers, low-temperature fuel cells, regenerative fuel cells and some metal-air batteries. The OER and ORR tend to be sluggish and catalyzed by scarce and expensive materials, the durability of which is often insufficient. For two decades, computational methods have been regarded as a cost-effective means to explain experimental observations, test hypothesis, and design new materials for these two reactions.Currently, the most widely used computational model is based on the free energies of the intermediates (*O, *OH, *OOH) and the scaling relations among them. Since the publication of two seminal papers in 2011, the scaling relation between the adsorption energies of *OOH and *OH was assigned all the responsibility for the experimental inefficiencies of OER and ORR electrocatalysts. This triggered a research paradigm based on breaking such scaling relation that still lasts until this day (see the diagram next to this text). After noting in 2018 that breaking the scaling relation between *OOH and *OH does not necessarily entail an improvement of the OER overpotential, my group moved away from the mainstream and has since been devising alternative descriptors and methods to enhance OER electrocatalysts and bifunctional OER/ORR electrocatalysts.In this Account, I will describe when and why we introduced the concepts of electrochemical symmetry, delta-epsilon optimization, bifunctional volcano plot, and error awareness, among others, aiming to provide quantitative tools for the computational design and optimization of electrocatalysts.

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Publication Details

Journal
Accounts of Chemical Research
Published
2025-08-20
DOI
https://doi.org/10.1021/acs.accounts.5c00439
Citations
2
Primary Topic
Electrocatalysts for Energy Conversion
Type
article
Field-Weighted Citation Impact
0.73

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article

Mainstream and Sidestream Modeling in Oxygen Evolution Electrocatalysis

Federico Calle‐Vallejo
2 citations
Accounts of Chemical Research
Electrocatalysts for Energy Conversion
0.73
article

Mainstream and Sidestream Modeling in Oxygen Evolution Electrocatalysis

Federico Calle‐Vallejo
article en
2 citations

Abstract

ConspectusThe oxygen evolution reaction (OER) and oxygen reduction reaction (ORR) are key in numerous electrochemical technologies, such as water electrolyzers, CO<sub>2</sub> electrolyzers, low-temperature fuel cells, regenerative fuel cells and some metal-air batteries. The OER and ORR tend to be sluggish and catalyzed by scarce and expensive materials, the durability of which is often insufficient. For two decades, computational methods have been regarded as a cost-effective means to explain experimental observations, test hypothesis, and design new materials for these two reactions.Currently, the most widely used computational model is based on the free energies of the intermediates (*O, *OH, *OOH) and the scaling relations among them. Since the publication of two seminal papers in 2011, the scaling relation between the adsorption energies of *OOH and *OH was assigned all the responsibility for the experimental inefficiencies of OER and ORR electrocatalysts. This triggered a research paradigm based on breaking such scaling relation that still lasts until this day (see the diagram next to this text). After noting in 2018 that breaking the scaling relation between *OOH and *OH does not necessarily entail an improvement of the OER overpotential, my group moved away from the mainstream and has since been devising alternative descriptors and methods to enhance OER electrocatalysts and bifunctional OER/ORR electrocatalysts.In this Account, I will describe when and why we introduced the concepts of electrochemical symmetry, delta-epsilon optimization, bifunctional volcano plot, and error awareness, among others, aiming to provide quantitative tools for the computational design and optimization of electrocatalysts.

Accounts of Chemical ResearchVol. 58(17)
Ikerbasque (ES), University of the Basque Country (ES)
Ministerio de Ciencia, Innovación y Universidades, European Commission, Eusko Jaurlaritza
Openalex Percentile: Top 29%
Electrocatalysts for Energy Conversion
0.73
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