Physics-based extraction of material parameters from perovskite experiments <i>via</i> Bayesian optimization
Hualin Zhan, Viqar Uddin Ahmad, Azul Osorio Mayon, Grace Dansoa Tabi, Anh Dinh Bui, Zhuofeng Li, Daniel Walter, Hieu T. Nguyen, Klaus Weber, Thomas P. White, Kylie Catchpole
Abstract
We present a materials analysis platform that extracts fundamental material parameters from experimental data via interpretable machine learning. This platform is adaptable to other materials/experiments and is implementable on desktop computers.
Topics & Concepts
Perovskite (structure)PhotovoltaicsPhotovoltaic systemDiffusionSemiconductorCarrier lifetimeMaterials scienceOptoelectronicsBayesian optimizationPhotoluminescenceTransient (computer programming)PhysicsEngineering physicsComputer scienceChemistrySiliconElectrical engineeringThermodynamicsEngineeringArtificial intelligenceCrystallographyOperating systemPerovskite Materials and ApplicationsChalcogenide Semiconductor Thin FilmsQuantum Dots Synthesis And Properties