Design and virtual screening of donor and non-fullerene acceptor for organic solar cells using long short-term memory model
Long-Fei Lv, Cai‐Rong Zhang, Rui Cao, Xiaomeng Liu, Meiling Zhang, Ji-Jun Gong, Zi‐Jiang Liu, You-Zhi Wu, Hongshan Chen
Abstract
In this study, we trained long short-term memory models to predict photovoltaic performance parameters. Additionally, we cleaved and reorganized molecules to obtain novel high-performance donor–acceptor pairs.
Topics & Concepts
FullereneAcceptorOrganic solar cellTerm (time)Photovoltaic systemMaterials scienceLong short term memoryMoleculeComputer scienceChemistryArtificial intelligenceEngineeringPhysicsArtificial neural networkOrganic chemistryRecurrent neural networkElectrical engineeringCondensed matter physicsQuantum mechanicsOrganic Electronics and PhotovoltaicsAdvanced Memory and Neural ComputingMachine Learning in Materials Science