Chargement en cours...
Deep neural networks for accurate predictions of crystal stability
Predicting the stability of crystals is one of the central problems in materials science. Today, density functional theory (DFT) calculations remain comparatively expensive and scale poorly with system size. Here we show that deep neural networks utilizing just two descriptors—the Pauling electroneg...
Enregistré dans:
| Publié dans: | Nat Commun |
|---|---|
| Auteurs principaux: | , , , , |
| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
Nature Publishing Group UK
2018
|
| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6143552/ https://ncbi.nlm.nih.gov/pubmed/30228262 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41467-018-06322-x |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|