Screening of single-atom catalysts for CO₂ electroreduction to CH₄ using DFT calculations and machine learning

Abstract

An enhanced high-throughput DFT screening model additionally incorporates *OH reduction to refine selectivity, identifying 9 CO 2 RR-active TM@C 5 N SACs. Machine learning reveals key descriptors, guiding catalyst design.