Physics-Informed Neural Networks for Material Model Calibration from Full-Field Displacement Data. - David Anton; Henning Wessels (CoRR, 2022)

Reduced and All-at-Once Approaches for Model Calibration and Discovery in Computational Solid Mechanics. - Ulrich Römer; Stefan Hartmann; Jendrik-Alexander Tröger; David Anton; Henning Wessels; Moritz Flaschel; Laura De Lorenzis (CoRR, 2024)

Deterministic and statistical calibration of constitutive models from full-field data with parametric physics-informed neural networks. - David Anton; Jendrik-Alexander Tröger; Henning Wessels; Ulrich Römer; Alexander Henkes; Stefan Hartmann (Adv. Model. Simul. Eng. Sci., 2025)