Litcius/Paper detail

A Machine Learning-based surrogate modeling framework for predicting the history-dependent deformation of dual phase microstructures

Sarthak Khandelwal, Soudip Basu, Anirban Patra

2021Materials Today Communications23 citationsDOI

Topics & Concepts

Materials scienceDeformation (meteorology)MicrostructurePlasticityvon Mises yield criterionPhase (matter)Stress (linguistics)DislocationFinite element methodMachine learningComputer scienceStructural engineeringComposite materialPhilosophyLinguisticsEngineeringOrganic chemistryChemistryMicrostructure and mechanical propertiesHydrogen embrittlement and corrosion behaviors in metalsMachine Learning in Materials Science
A Machine Learning-based surrogate modeling framework for predicting the history-dependent deformation of dual phase microstructures | Litcius