Efficiency and Stability Analysis of 2D/3D Perovskite Solar Cells Using Machine Learning
Beyza Yılmaz, Çağla Odabaşı, Ramazan Yıldırım
Abstract
2D/3D perovskite solar cells have emerged to improve stability without sacrificing efficiency by combining the benefits of two structures. An extensive dataset was created from experimental papers and analyzed using machine learning to predict the bandgap and efficiency, and to identify the factors promoting stability. More details can be found in article number 2100948, Ramazan Yıldırım and co-workers.
Topics & Concepts
Perovskite (structure)Stability (learning theory)Materials scienceBand gapArtificial intelligenceComputer scienceEngineering physicsNanotechnologyMachine learningOptoelectronicsChemical engineeringPhysicsEngineeringPerovskite Materials and Applications