This project aims to optimize spinel oxide electrocatalysts for Oxygen Evolution Reaction (OER), vital in water electrolysis and hydrogen production. We use a mix of high-throughput DFT calculations and machine learning to systematically enhance spinel oxide performance for OER efficiency.
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This project aims to optimize spinel oxide electrocatalysts for Oxygen Evolution Reaction (OER), vital in water electrolysis and hydrogen production. We use a mix of high-throughput DFT calculations and machine learning to systematically enhance spinel oxide performance for OER efficiency.
liyihang1024/Spinel_Oxide_OER_Catalyst_ML
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This project aims to optimize spinel oxide electrocatalysts for Oxygen Evolution Reaction (OER), vital in water electrolysis and hydrogen production. We use a mix of high-throughput DFT calculations and machine learning to systematically enhance spinel oxide performance for OER efficiency.
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