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.
Authors
- Stuart Bateman
- Anis Arisa Roslan (ORCID: https://orcid.org/0000-0003-1447-3549)
- Jack J. Quayle (ORCID: https://orcid.org/0009-0000-0252-1035)
- Yuankai Zhao (ORCID: https://orcid.org/0009-0004-5375-8189)
- Tu C. Le (ORCID: https://orcid.org/0000-0003-3552-8211)
- Jawwad A Darr
- Thomas Ashton
- Jiacheng Wang
Institutions
- University of East London (GB)
- University College London (GB)
- RMIT University (AU)
Publication Details
- Journal
- PubMed
- Published
- 2026-09-17
- DOI
- https://doi.org/10.1039/d6mh01015f
- Primary Topic
- Electrocatalysts for Energy Conversion
- Type
- article
- Field-Weighted Citation Impact
- 0.00