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 DammaÃ, 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…
eess.SP2025
Fatigue monitoring and maneuver identification for vehicle fleets using a virtual sensing approach
Leonhard Heindel, Peter Hantschke, Markus Kästner
Extensive monitoring comes at a prohibitive cost, limiting Predictive Maintenance strategies for vehicle fleets. This paper presents a measurement-based virtual sensing technique w…