Machine learning-enabled identification of micromechanical stress and strain hotspots predicted via dislocation density-based crystal plasticity simulations

Author:

Eghtesad AdnanORCID,Luo QixiangORCID,Shang Shun-Li,Lebensohn Ricardo A.ORCID,Knezevic Marko,Liu Zi-KuiORCID,Beese Allison M.ORCID

Funder

Los Alamos National Laboratory

National Energy Technology Laboratory

U.S. Department of Energy

Publisher

Elsevier BV

Subject

Mechanical Engineering,Mechanics of Materials,General Materials Science

Reference80 articles.

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5. Accurate Machine Learning In Materials Science Facilitated By Using Diverse Data Sources;Batra,2021

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