Machine Learning of Dislocation-Induced Stress Fields and Interaction Forces

In discrete dislocation dynamics (DDD) simulations dislocation-induced stress fields and dislocation–dislocation interaction forces are typically evaluated using analytically described multiparameter continuous functions. The universal approximation theory guarantees the approximation of such functi...

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Bibliographic Details

Published in:	JOM (1989) Vol. 72; no. 12; pp. 4380 - 4392
Main Authors:	Rafiei, Mohammad H., Gu, Yejun, El-Awady, Jaafar A.
Format:	Journal Article
Language:	English
Published:	New York Springer US 01.12.2020 Springer Nature B.V
Subjects:	Approximation Artificial neural networks Augmenting Physics-based Models in ICME with Machine Learning and Uncertainty Quantification Chemistry/Food Science Continuity (mathematics) Earth Sciences Engineering Environment Exact solutions Machine learning Neural networks Physics Simulation Stress distribution
ISSN:	1047-4838, 1543-1851
Online Access:	Get full text
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