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)

Enhancing Multiscale Simulations with Constitutive Relations-Aware Deep Operator Networks. - Hamidreza Eivazi; Mahyar Alikhani; Jendrik-Alexander Tröger; Stefan H. A. Wittek; Stefan Hartmann; Andreas Rausch 001 (CoRR, 2024)

EquiNO: A Physics-Informed Neural Operator for Multiscale Simulations. - Hamidreza Eivazi; Jendrik-Alexander Tröger; Stefan H. A. Wittek; Stefan Hartmann; Andreas Rausch 001 (CoRR, 2025)

A Neural Operator based Hybrid Microscale Model for Multiscale Simulation of Rate-Dependent Materials. - Dhananjeyan Jeyaraj; Hamidreza Eivazi; Jendrik-Alexander Tröger; Stefan H. A. Wittek; Stefan Hartmann; Andreas Rausch 001 (CoRR, 2025)

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)