How machine learning can help select capping layers to suppress perovskite degradation

Environmental stability of perovskite solar cells (PSCs) has been improved by trial-and-error exploration of thin low-dimensional (LD) perovskite deposited on top of the perovskite absorber, called the capping layer. In this study, a machine-learning framework is presented to optimize this layer. We...

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Detalles Bibliográficos
Autores principales: Hartono, Noor Titan Putri, Thapa, Janak, Tiihonen, Armi, Oviedo, Felipe, Batali, Clio, Yoo, Jason J., Liu, Zhe, Li, Ruipeng, Marrón, David Fuertes, Bawendi, Moungi G., Buonassisi, Tonio, Sun, Shijing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7441172/
https://www.ncbi.nlm.nih.gov/pubmed/32820159
http://dx.doi.org/10.1038/s41467-020-17945-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7441172/
https://www.ncbi.nlm.nih.gov/pubmed/32820159
http://dx.doi.org/10.1038/s41467-020-17945-4

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