Data-driven optimisation of more sustainable high-to-medium entropy Perovskites for oxygen evolution catalysts.

). This work demonstrates an efficient strategy for generating phase-pure Perovskite catalyst libraries and shows that a coupled electrochemical screening and ML-guided synthesis process can accelerate the discovery of stable, sustainable OER catalysts containing less critical elements but with high performance.

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Publication Details

Journal
PubMed
Published
2026-09-17
DOI
https://doi.org/10.1039/d6mh01015f
Primary Topic
Electrocatalysts for Energy Conversion
Type
article
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0.00
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article

Data-driven optimisation of more sustainable high-to-medium entropy Perovskites for oxygen evolution catalysts.

Stuart Bateman, Anis Arisa Roslan, Jack J. Quayle, Yuankai Zhao et al.
PubMed
Electrocatalysts for Energy Conversion
article

Data-driven optimisation of more sustainable high-to-medium entropy Perovskites for oxygen evolution catalysts.

Stuart Bateman, Anis Arisa Roslan, Jack J. Quayle, Yuankai Zhao, Tu C. Le, Jawwad A Darr, Thomas Ashton, Jiacheng Wang
article en

Abstract

). This work demonstrates an efficient strategy for generating phase-pure Perovskite catalyst libraries and shows that a coupled electrochemical screening and ML-guided synthesis process can accelerate the discovery of stable, sustainable OER catalysts containing less critical elements but with high performance.

PubMed
University of East London (GB), University College London (GB), RMIT University (AU)
Responsible consumption and production
Openalex Percentile: Top 48%
Electrocatalysts for Energy Conversion
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Data-driven optimisation of more sustainable high-to-medium entropy Perovskites for oxygen evolution catalysts. — Stuart Bateman, Anis Arisa Roslan, et al. · PubMed (2026) | TGRS Research Map | TGRS