Accelerated discovery of stable lead-free hybrid organic-inorganic perovskites via machine learning

Rapidly discovering functional materials remains an open challenge because the traditional trial-and-error methods are usually inefficient especially when thousands of candidates are treated. Here, we develop a target-driven method to predict undiscovered hybrid organic-inorganic perovskites (HOIPs)...

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Detalles Bibliográficos
Autores principales: Lu, Shuaihua, Zhou, Qionghua, Ouyang, Yixin, Guo, Yilv, Li, Qiang, Wang, Jinlan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6109147/
https://www.ncbi.nlm.nih.gov/pubmed/30143621
http://dx.doi.org/10.1038/s41467-018-05761-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6109147/
https://www.ncbi.nlm.nih.gov/pubmed/30143621
http://dx.doi.org/10.1038/s41467-018-05761-w

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