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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★ 3 cited
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…