activity
20242026
most citedReduced and All-at-Once Approaches for Model Calibration and Discovery in Computational Solid Mechanics

41 citations · 44 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CV2026

Projection-based coupling of infrared thermography and stereocorrelation-based digital image correlation

Jendrik-Alexander Tröger, Lutz Müller-Lohse, Stefan Hartmann

Full-field measurement techniques such as digital image correlation and infrared thermography are prevalent in experimental solid mechanics. Digital image correlation is used to an…

cs.CE2026

Uncertainty Quantification in Calibration and Simulation of Thermo-Chemical Curing of Epoxy Resins

Jendrik-Alexander Tröger, Christina Steinweller, Stefan Hartmann

Curing of epoxy resins poses a particular challenge in terms of modeling, experimental investigation, and numerical implementation, as it is a thermo-chemo-mechanical process. Seve…

physics.comp-ph2025

A Neural Operator based Hybrid Microscale Model for Multiscale Simulation of Rate-Dependent Materials

Dhananjeyan Jeyaraj, Hamidreza Eivazi, Jendrik-Alexander Tröger +3

The behavior of materials is influenced by a wide range of phenomena occurring across various time and length scales. To better understand the impact of microstructure on macroscop…

physics.comp-ph2025

EquiNO: A Physics-Informed Neural Operator for Multiscale Simulations

Hamidreza Eivazi, Jendrik-Alexander Tröger, Stefan Wittek +2

Multiscale problems are ubiquitous in physics. Numerical simulations of such problems by solving partial differential equations (PDEs) at high resolution are computationally too ex…

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…

cs.CE2024★ 41 cited

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…