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Predicting orientation-dependent plastic susceptibility from static structure in amorphous solids via deep learning
It has been a long-standing materials science challenge to establish structure-property relations in amorphous solids. Here we introduce a rotationally non-invariant local structure representation that enables different predictions for different loading orientations, which is found essential for hig...
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| Publicado no: | Nat Commun |
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| Main Authors: | , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Nature Publishing Group UK
2021
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7940643/ https://ncbi.nlm.nih.gov/pubmed/33686082 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41467-021-21806-z |
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