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Structure motif–centric learning framework for inorganic crystalline systems
Incorporation of physical principles in a machine learning (ML) architecture is a fundamental step toward the continued development of artificial intelligence for inorganic materials. As inspired by the Pauling’s rule, we propose that structure motifs in inorganic crystals can serve as a central inp...
Enregistré dans:
| Publié dans: | Sci Adv |
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| Auteurs principaux: | , , , , , , , |
| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
American Association for the Advancement of Science
2021
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| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8059928/ https://ncbi.nlm.nih.gov/pubmed/33883136 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1126/sciadv.abf1754 |
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