Imaging of atomic stress at grain boundaries based on machine learning
Author:
Publisher
Elsevier BV
Subject
Mechanical Engineering,Mechanics of Materials,Condensed Matter Physics
Reference47 articles.
1. Mechanically enhanced grain boundary structural phase transformation in Cu;Aramfard;Acta Mater,2018
2. Defect-interface interactions;Beyerlein;Prog. Mater. Sci.,2015
3. In situ atomic-scale observation of dislocation climb and grain boundary evolution in nanostructured metal;Chu;Nat. Commun.,2022
4. Machine-learning prediction of atomistic stress along grain boundaries;Cui;Acta Mater.,2022
5. Universally characterizing atomistic strain via simulation, statistics, and machine learning: Low-angle grain boundaries;Curnan;Acta Mater,2022
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