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

Identifying the composition of multiphase inorganic compounds from XRD patterns is challenging. Here the authors use a convolutional neural network to identify phases in unknown multiphase mixed inorganic powder samples with an accuracy of nearly 90%.

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Detalles Bibliográficos
Autores principales: Jin-Woong Lee, Woon Bae Park, Jin Hee Lee, Satendra Pal Singh, Kee-Sun Sohn
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2020
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Acceso en línea:https://doaj.org/article/b35e778496fb46cb99fe1ad0f5d9d40d
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Descripción
Sumario:Identifying the composition of multiphase inorganic compounds from XRD patterns is challenging. Here the authors use a convolutional neural network to identify phases in unknown multiphase mixed inorganic powder samples with an accuracy of nearly 90%.