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Research Highlight

Efficient Exploration of Multimetallic Alloys for Optimal Bifunctional Catalysts in Water Splitting through Pareto Active Learning and Experiments

A study published by Prof. Hee-Tae Jung’s group on the efficient production of renewable energy through the search for optimal bifunctional multimetallic alloy catalysts has shown promising results. The study used a Pareto active learning framework and carbothermal shock method for nanoparticle synthesis to efficiently determine optimal metallic compositions for bifunctional catalysts of up to four component elements for electrocatalytic reactions. The approach can be extended to different catalytic reaction fields and other multifunctional applications....read more

Bifunctional catalysts Green Hydrogen Multimetallic alloys Pareto active learning Renewable energy Saudi-Aramco-KAIST CO₂ Management Center Water Splitting

Research Highlight

Solution Phase Phosphorus Substitution for Enhancement of Oxygen Evolution Reaction in Cu₂WS₄

P substitution in Cu₂WS₄ was found to induce numerous basal plane defects, which increase the active sites for -OH adsorption/desorption and improve efficiency of the oxygen evolution reaction. ...read more

2D Materials Doping KAIST Institute for the NanoCentury NT for Climate Change Water Splitting

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