Data-driven design of dual-metal-site catalysts for the electrochemical carbon dioxide reduction reaction

A data-driven strategy with a DFT/ML algorithm was reported to predict the catalytic performance of dual-metal-site catalysts (DMSCs) toward CO 2 RR. The screening model successfully predicted 4 DMSCs identified as efficient CO 2 RR electrocatalysts.