3 papers
cond-mat.mtrl-sci2026
Generative reconstruction of 2D and 3D polycrystalline microstructures using symmetrized hyperspherical harmonics
Ali R. Safi, Paul Seibert, Santiago Benito +3
Establishing structure-property linkages in polycrystalline materials requires representative two- (2D) and three- (3D) dimensional microstructural inputs for full-field simulation…
cond-mat.mtrl-sci2025
When invariants matter: The role of I1 and I2 in neural network models of incompressible hyperelasticity
Franz Dammaß, Karl A. Kalina, Markus Kästner
For the formulation of machine learning-based material models, the usage of invariants of deformation tensors is attractive, since this can a priori guarantee objectivity and mater…
physics.comp-ph2024
Phase-field models for ductile fatigue fracture
Martha Kalina, Tom Schneider, Haim Waisman +1
Fatigue fracture is one of the main causes of failure in structures. However, the simulation of fatigue crack growth is computationally demanding due to the large number of load cy…