Litcius/Paper detail

Predicting and analyzing the fill factor of non-fullerene organic solar cells based on material properties and interpretable machine-learning strategies

Min‐Hsuan Lee

2023Solar Energy30 citationsDOI

Topics & Concepts

Organic solar cellInterpretabilityComputer scienceFullerenePhotovoltaic systemArtificial intelligenceOffset (computer science)Machine learningMaterials sciencePhysicsPolymerNuclear magnetic resonanceEcologyBiologyQuantum mechanicsProgramming languageOrganic Electronics and PhotovoltaicsMachine Learning in Materials ScienceConducting polymers and applications
Predicting and analyzing the fill factor of non-fullerene organic solar cells based on material properties and interpretable machine-learning strategies | Litcius