A Universal 3D Voxel Descriptor for Solid-State Material Informatics with Deep Convolutional Neural Networks
Abstract 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...
Enregistré dans:
| Auteurs principaux: | , , , |
|---|---|
| Format: | article |
| Langue: | EN |
| Publié: |
Nature Portfolio
2017
|
| Sujets: | |
| Accès en ligne: | https://doaj.org/article/08e609fd8d164525ba0be3498a88455a |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|