Litcius/Paper detail

Machine learning-enabled self-consistent parametrically-upscaled crystal plasticity model for Ni-based superalloys

George Weber, Maxwell Pinz, Somnath Ghosh

2022Computer Methods in Applied Mechanics and Engineering34 citationsDOI

Topics & Concepts

SuperalloyHomogenization (climate)Multiscale modelingMicrostructureMaterials scienceFinite element methodRepresentative elementary volumeSpeedupPlasticityMicromechanicsConstitutive equationNonlinear systemComputer scienceStatistical physicsStructural engineeringPhysicsEngineeringMetallurgyComposite materialParallel computingBiodiversityComposite numberQuantum mechanicsComputational chemistryChemistryEcologyBiologyComposite Material MechanicsMicrostructure and mechanical propertiesTopology Optimization in Engineering
Machine learning-enabled self-consistent parametrically-upscaled crystal plasticity model for Ni-based superalloys | Litcius