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A Universal 3D Voxel Descriptor for Solid-State Material Informatics with Deep Convolutional Neural Networks

Material informatics (MI) is a promising approach to liberate us from the time-consuming Edisonian (trial and error) process for material discoveries, driven by machine-learning algorithms. Several descriptors, which are encoded material features to feed computers, were proposed in the last few deca...

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Detalles Bibliográficos
Autores principales:	Kajita, Seiji, Ohba, Nobuko, Jinnouchi, Ryosuke, Asahi, Ryoji
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Nature Publishing Group UK 2017
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5717226/ https://www.ncbi.nlm.nih.gov/pubmed/29209036 http://dx.doi.org/10.1038/s41598-017-17299-w

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