3 papers
cs.LG2024
Enhancing Multiscale Simulations with Constitutive Relations-Aware Deep Operator Networks
Hamidreza Eivazi, Mahyar Alikhani, Jendrik-Alexander Tröger +3
Multiscale problems are widely observed across diverse domains in physics and engineering. Translating these problems into numerical simulations and solving them using numerical sc…
cs.LG2024
Deterministic and statistical calibration of constitutive models from full-field data with parametric physics-informed neural networks
David Anton, Jendrik-Alexander Tröger, Henning Wessels +3
The calibration of constitutive models from full-field data has recently gained increasing interest due to improvements in full-field measurement capabilities. In addition to the e…
cs.CE2024
Reduced and All-at-Once Approaches for Model Calibration and Discovery in Computational Solid Mechanics
Ulrich Römer, Stefan Hartmann, Jendrik-Alexander Tröger +4
In the framework of solid mechanics, the task of deriving material parameters from experimental data has recently re-emerged with the progress in full-field measurement capabilitie…