Opportunities and challenges for machine learning to select combination of donor and acceptor materials for efficient organic solar cells
Prateek Malhotra, Kanupriya Khandelwal, Subhayan Biswas, Fang‐Chung Chen, Ganesh D. Sharma
Abstract
In this review, current progress, opportunities, and challenges for ML in OSCs have been identified. Given the rapid advances in this field, impactful techniques that have been useful in extracting meaningful insights are discussed.
Topics & Concepts
Organic solar cellMaterials scienceField (mathematics)NanotechnologyAcceptorEngineering physicsCurrent (fluid)Biochemical engineeringArtificial intelligenceProcess engineeringData scienceComputer scienceEngineeringElectrical engineeringPhysicsPolymerComposite materialPure mathematicsMathematicsCondensed matter physicsOrganic Electronics and PhotovoltaicsAdvanced Memory and Neural ComputingConducting polymers and applications