Bayesian optimization and prediction of the durability of triple-halide perovskite thin films under light and heat stressors
Deniz N. Cakan, Eric Oberholtz, Ken Kaushal, Sean P. Dunfield, David P. Fenning
Abstract
A machine learning regression model robustly predicts phase instability in wide bandgap halide perovskites by linking the spectral variation in 60-second photoluminescence tests to tests under 800 h, 1-sun, 85 °C conditions.
Topics & Concepts
DurabilityBayesian optimizationMaterials scienceHalidePerovskite (structure)Bayesian probabilityStressorThin filmComposite materialComputer sciencePsychologyChemical engineeringArtificial intelligenceNanotechnologyEngineeringChemistryClinical psychologyInorganic chemistryPerovskite Materials and ApplicationsChalcogenide Semiconductor Thin FilmsZnO doping and properties