Interpretable machine-learning for predicting power conversion efficiency of non-halogenated green solvent-processed organic solar cells based on Hansen solubility parameters and molecular weights of polymers
Min‐Hsuan Lee
Topics & Concepts
Organic solar cellSolventPolymer solar cellMaterials sciencePolymerProcess engineeringSolubilityComputer scienceArtificial intelligenceMachine learningNanotechnologyBiochemical engineeringChemistryOrganic chemistryEngineeringComposite materialOrganic Electronics and PhotovoltaicsMachine Learning in Materials ScienceConducting polymers and applications