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Bandgap tuning strategy by cations and halide ions of lead halide perovskites learned from machine learning

Bandgap engineering of lead halide perovskite materials is critical to achieve highly efficient and stable perovskite solar cells and color tunable stable perovskite light-emitting diodes. Herein, we propose the use of machine learning as a tool to predict the bandgap of the perovskite materials fro...

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Detalles Bibliográficos
Autores principales: Li, Yaoyao, Lu, Yao, Huo, Xiaomin, Wei, Dong, Meng, Juan, Dong, Jie, Qiao, Bo, Zhao, Suling, Xu, Zheng, Song, Dandan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society of Chemistry 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9030536/
https://www.ncbi.nlm.nih.gov/pubmed/35481197
http://dx.doi.org/10.1039/d1ra03117a