Machine learning bandgaps of double perovskites

The ability to make rapid and accurate predictions on bandgaps of double perovskites is of much practical interest for a range of applications. While quantum mechanical computations for high-fidelity bandgaps are enormously computation-time intensive and thus impractical in high throughput studies,...

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Detalles Bibliográficos
Autores principales: Pilania, G., Mannodi-Kanakkithodi, A., Uberuaga, B. P., Ramprasad, R., Gubernatis, J. E., Lookman, T.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2016
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4726030/
https://www.ncbi.nlm.nih.gov/pubmed/26783247
http://dx.doi.org/10.1038/srep19375

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4726030/
https://www.ncbi.nlm.nih.gov/pubmed/26783247
http://dx.doi.org/10.1038/srep19375

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