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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...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Nature Publishing Group UK
2021
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7940643/ https://www.ncbi.nlm.nih.gov/pubmed/33686082 http://dx.doi.org/10.1038/s41467-021-21806-z |