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A transferable machine-learning framework linking interstice distribution and plastic heterogeneity in metallic glasses

When metallic glasses (MGs) are subjected to mechanical loads, the plastic response of atoms is non-uniform. However, the extent and manner in which atomic environment signatures present in the undeformed structure determine this plastic heterogeneity remain elusive. Here, we demonstrate that novel...

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Detalles Bibliográficos
Autores principales: Wang, Qi, Jain, Anubhav
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6895099/
https://www.ncbi.nlm.nih.gov/pubmed/31804485
http://dx.doi.org/10.1038/s41467-019-13511-9

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