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

Adnan Eghtesad, Qixiang Luo, Shun‐Li Shang, Ricardo A. Lebensohn, Marko Knežević, Zi‐Kui Liu, Allison M. Beese

2023International Journal of Plasticity44 citationsDOIOpen Access PDF

Topics & Concepts

Materials scienceDislocationPlasticityGrain boundaryMicroscale chemistryCrystalliteWork hardeningSlip (aerodynamics)MicrostructureCrystal plasticityIntergranular corrosionComposite materialMetallurgyThermodynamicsPhysicsMathematicsMathematics educationMicrostructure and mechanical propertiesHydrogen embrittlement and corrosion behaviors in metalsMetal and Thin Film Mechanics
Machine learning-enabled identification of micromechanical stress and strain hotspots predicted via dislocation density-based crystal plasticity simulations | Litcius