High-throughput and machine-learning accelerated design of high entropy alloy catalysts

High entropy alloy (HEA) catalysts have attracted widespread attention due to their high catalytic performance. Herein, we briefly describe the advantages and challenges of HEA catalysts. Compared with ‘trial and error' and ‘directed research' approaches, a potential strategy based on high-throughput techniques and machine learning is proposed for the further development of HEA catalysts.