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A machine learning prediction model for quantitative analyzing the influence of non-radiative voltage loss on non-fullerene organic solar cells

Di Huang, Kuo Wang, Zhennan Li, Haixin Zhou, Xiaojie Zhao, Xinyu Peng, Jipeng Wu, Jiaojiao Liang, Juan Meng, Ling Zhao, Ling Zhao

2023Chemical Engineering Journal39 citationsDOI

Topics & Concepts

HOMO/LUMOOrganic solar cellFullereneAcceptorRadiative transferBand gapMaterials scienceChemistryComputational chemistryMoleculeOptoelectronicsPhysicsOrganic chemistryOpticsQuantum mechanicsPolymerOrganic Electronics and PhotovoltaicsConducting polymers and applicationsMolecular Junctions and Nanostructures
A machine learning prediction model for quantitative analyzing the influence of non-radiative voltage loss on non-fullerene organic solar cells | Litcius