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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Bibliographic Details
Main Authors: Zhao Fan, Evan Ma
Format: Article
Language:English
Published: Nature Publishing Group 2021-03-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-021-21806-z