A deep-learning technique for phase identification in multiphase inorganic compounds using synthetic XRD powder patterns

Here we report a facile, prompt protocol based on deep-learning techniques to sort out intricate phase identification and quantification problems in complex multiphase inorganic compounds. We simulate plausible powder X-ray powder diffraction (XRD) patterns for 170 inorganic compounds in the Sr-Li-A...

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Detalles Bibliográficos
Autores principales: Lee, Jin-Woong, Park, Woon Bae, Lee, Jin Hee, Singh, Satendra Pal, Sohn, Kee-Sun
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/PMC6941984/
https://www.ncbi.nlm.nih.gov/pubmed/31900391
http://dx.doi.org/10.1038/s41467-019-13749-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6941984/
https://www.ncbi.nlm.nih.gov/pubmed/31900391
http://dx.doi.org/10.1038/s41467-019-13749-3

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