Towards efficient and stable organic solar cells: fixing the morphology problem in block copolymer active layers with synergistic strategies supported by interpretable machine learning
Yu Cui, Qunping Fan, Hao Feng, Tao Li, Dmitry Yu. Paraschuk, Wei Ma, Han Yan
Abstract
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.
Topics & Concepts
CopolymerMorphology (biology)Organic solar cellBlock (permutation group theory)Materials scienceComputer scienceArtificial intelligenceNanotechnologyGeologyMathematicsComposite materialPolymerCombinatoricsPaleontologyOrganic Electronics and PhotovoltaicsMachine Learning in Materials ScienceAdvanced Memory and Neural Computing