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Updated: Sep 17, 2025

Synthesis of Platinum-nickel Nanowires and Optimization for Oxygen Reduction Performance
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Published on: April 27, 2018

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Accelerating Combinatorial Electrocatalyst Discovery with Bayesian Optimization: a Case Study in the Quaternary

Felix Thelen1, Rico Zehl1, Ridha Zerdoumi1,2

  • 1Chair for Materials Discovery and Interfaces, Institute for Materials, Faculty of Mechanical Engineering, Ruhr University Bochum, Universitätsstraße 150, 44801, Bochum, Germany.

Advanced Science (Weinheim, Baden-Wurttemberg, Germany)
|June 30, 2025
PubMed
Summary

High-performance electrocatalysts are key for sustainable energy. This study used Bayesian optimization to efficiently explore complex metal alloys, quickly finding the best composition for the oxygen evolution reaction.

Keywords:
bayesian optimizationcombinatorial materials discoverycompositionally complex solid solutionselectrocatalysisoxygen evolution reaction

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