Machine Learning Accelerated Prediction of Self‐Trapped Excitons in Double Halide Perovskites
Baian Chen, Rui Chen, Bolong Huang
Abstract
Double Halide Perovskites In article number 2300134, Baian Chen, Rui Chen, and Bolong Huang have realized the predictions of self-trapped excitons in double halide perovskites by combining density functional theory calculations and machine learning techniques. The study supplies an effective approach to efficiently discover the potential novel optoelectronic materials, which provides important guidance for the future exploration of promising solid-state phosphors.
Topics & Concepts
HalideExcitonChenDensity functional theoryMaterials sciencePerovskite (structure)OptoelectronicsNanotechnologyPhysicsCondensed matter physicsChemistryQuantum mechanicsInorganic chemistryCrystallographyPaleontologyBiologyPerovskite Materials and Applications