DFT and machine learning guided investigation into the design of new dual-atom catalysts based on α-2 graphyne

This study employs machine learning to investigate the electrocatalytic properties of few dual-atom catalysts, examining critical aspects using SHAP values to improve comprehension of metal interactions and catalysts design.