Predicting orientation-dependent plastic susceptibility from static structure in amorphous solids via deep learning

Predicting a priori local defects in amorphous materials remains a grand challenge. Here authors combine a rotationally non-invariant structure representation with deep-learning to predict the propensity for shear transformations of amorphous solids for different loading orientations, only given the...

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Detalles Bibliográficos
Autores principales:	Zhao Fan, Evan Ma
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/fbaccc18a78f426ab79a24a83fc9e2fd
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spelling	oai:doaj.org-article:fbaccc18a78f426ab79a24a83fc9e2fd2021-12-02T13:30:08ZPredicting orientation-dependent plastic susceptibility from static structure in amorphous solids via deep learning10.1038/s41467-021-21806-z2041-1723https://doaj.org/article/fbaccc18a78f426ab79a24a83fc9e2fd2021-03-01T00:00:00Zhttps://doi.org/10.1038/s41467-021-21806-zhttps://doaj.org/toc/2041-1723Predicting a priori local defects in amorphous materials remains a grand challenge. Here authors combine a rotationally non-invariant structure representation with deep-learning to predict the propensity for shear transformations of amorphous solids for different loading orientations, only given the static structure.Zhao FanEvan MaNature PortfolioarticleScienceQENNature Communications, Vol 12, Iss 1, Pp 1-13 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Zhao Fan Evan Ma Predicting orientation-dependent plastic susceptibility from static structure in amorphous solids via deep learning
description	Predicting a priori local defects in amorphous materials remains a grand challenge. Here authors combine a rotationally non-invariant structure representation with deep-learning to predict the propensity for shear transformations of amorphous solids for different loading orientations, only given the static structure.
format	article
author	Zhao Fan Evan Ma
author_facet	Zhao Fan Evan Ma
author_sort	Zhao Fan
title	Predicting orientation-dependent plastic susceptibility from static structure in amorphous solids via deep learning
title_short	Predicting orientation-dependent plastic susceptibility from static structure in amorphous solids via deep learning
title_full	Predicting orientation-dependent plastic susceptibility from static structure in amorphous solids via deep learning
title_fullStr	Predicting orientation-dependent plastic susceptibility from static structure in amorphous solids via deep learning
title_full_unstemmed	Predicting orientation-dependent plastic susceptibility from static structure in amorphous solids via deep learning
title_sort	predicting orientation-dependent plastic susceptibility from static structure in amorphous solids via deep learning
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/fbaccc18a78f426ab79a24a83fc9e2fd
work_keys_str_mv	AT zhaofan predictingorientationdependentplasticsusceptibilityfromstaticstructureinamorphoussolidsviadeeplearning AT evanma predictingorientationdependentplasticsusceptibilityfromstaticstructureinamorphoussolidsviadeeplearning
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Predicting orientation-dependent plastic susceptibility from static structure in amorphous solids via deep learning

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