Using Machine Learning Approaches to Predict Atomic-Scale Glass Failure in Environmental Conditions.
Author(s) -
Victoria Lloyd,
Sarah Lu,
Jorge Peña,
Allon G. Percus,
C.-T. Wang,
Rory Zhao,
Thomas C. Hardin,
Mark Wilson
Publication year - 2021
Publication title -
osti oai (u.s. department of energy office of scientific and technical information)
Language(s) - English
Resource type - Conference proceedings
DOI - 10.2172/1856294
Subject(s) - scale (ratio) , computer science , atomic units , machine learning , artificial intelligence , physics , quantum mechanics
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