This project aims to accelerate the discovery of efficient high-entropy alloy (HEA) catalytic materials for CO2 electrolysis by integrating advanced quantum AI-based optimization techniques with quantum mechanics computation. By combining these cutting-edge methods, the project seeks to identify novel, efficient, and costeffective catalysts that can convert CO2 into valuable products, contributing to the achievement of […]
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