Machine Learning Accelerated Prediction of Self‐Trapped Excitons in Double Halide Perovskites

Machine Learning Accelerated Prediction of Self‐Trapped Excitons in Double Halide Perovskites

Broadband emission induced by self‐trapped excitons (STEs) in double halide perovskites (DHPs) has received continuous attention in recent years. However, the comprehensive understanding of the STEs formation mechanism is still in its early stage. The corresponding roles of different B‐site cations...

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Bibliographic Details
Main Authors: Baian Chen, Rui Chen, Bolong Huang
Format: Article
Language:English
Published: Wiley-VCH 2023-12-01
Series:Advanced Energy & Sustainability Research
Subjects:
density functional theory calculations
double halide perovskites
electron-phonon coupling
machine learning
self-trapped excitons
Online Access:https://doi.org/10.1002/aesr.202300134

Internet

https://doi.org/10.1002/aesr.202300134

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