Reliable training of neural hyperelastic models via full-field data

Konrad Friedrichs, Franz Dammaß, Karl A. Kalina +1

We present a systematic investigation of the robustness and limitations of equilibrium gap-based calibrations for hyperelastic physics-augmented neural networks (PANNs), where we c…