Data-driven approach towards identifying dyesensitizer molecules for higher power conversion efficiency in solar cells
Ganapathi Rao Kandregula, Dhinesh Kumar Murugaiah, N. Arul Murugan, Kothandaraman Ramanujam
Abstract
Machine learning (ML) research based on the quantitative structure–property relationship (QSPR) has been applied for the development of highly efficient dye-sensitized solar cells (DSSCs).
Topics & Concepts
ChemistryQuantitative structure–activity relationshipEnergy conversion efficiencyDye-sensitized solar cellMoleculeProperty (philosophy)NanotechnologyBiochemical engineeringCombinatorial chemistryStereochemistryOrganic chemistryPhysical chemistryOptoelectronicsPhysicsPhilosophyEpistemologyEngineeringElectrolyteMaterials scienceElectrodeQuantum Dots Synthesis And PropertiesTiO2 Photocatalysis and Solar CellsAdvanced Nanomaterials in Catalysis