Application of large datasets to assess trends in the stability of perovskite photovoltaics through machine learning
Bashayer Alsulami, Tudur Wyn David, A Essien, Samrana Kazim, Shahzada Ahmad, T. Jesper Jacobsson, Andrew Feeney, Jeff Kettle
Abstract
Current trends in manufacturing indicate that optimised decision making using new state-of-the-art machine learning (ML) technologies will be used.
Topics & Concepts
PhotovoltaicsStability (learning theory)Perovskite (structure)State (computer science)Artificial intelligenceComputer scienceMachine learningMaterials scienceEngineeringPhotovoltaic systemElectrical engineeringChemical engineeringAlgorithmPerovskite Materials and ApplicationsMachine Learning in Materials ScienceChalcogenide Semiconductor Thin Films