Machine Learning Enables Prediction of Halide Perovskites’ Optical Behavior with >90% Accuracy

[Image: see text] The composition-dependent degradation of hybrid organic–inorganic perovskites (HOIPs) due to environmental stressors still precludes their commercialization. It is very difficult to quantify their behavior upon exposure to each stressor by exclusively using trial-and-error methods...

Descripción completa

Detalles Bibliográficos
Autores principales: Srivastava, Meghna, Hering, Abigail R., An, Yu, Correa-Baena, Juan-Pablo, Leite, Marina S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2023
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10112389/
https://www.ncbi.nlm.nih.gov/pubmed/37090172
http://dx.doi.org/10.1021/acsenergylett.2c02555

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10112389/
https://www.ncbi.nlm.nih.gov/pubmed/37090172
http://dx.doi.org/10.1021/acsenergylett.2c02555

Ejemplares similares