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

Internet

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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