Towards efficient and stable organic solar cells: fixing the morphology problem in block copolymer active layers with synergistic strategies supported by interpretable machine learning

Interpretable machine learning identifies the causal structure–property relationships and key control factors in block copolymer organic solar cells with excellent power conversion efficiency and thermal stability.