Jörg F. Unger

According to our database, Jörg F. Unger authored at least 12 papers between 2011 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Quantifying water-driven geometric uncertainties in powder bed concrete printing using high-resolution 3D modeling.

Christoph Wolf, Petr Hlavácek, Annika Robens-Radermacher, Daniel Kadoke, Jörg F. Unger

CoRR, May, 2026

Bayesian Tendon Breakage Localization under Model Uncertainty Using Distributed Fiber Optic Sensors.

Daniel Andrés Arcones, Aeneas Paul, Martin Weiser, David Sanio, Peter Mark, Jörg F. Unger

CoRR, April, 2026

Gaussian mixture models for model improvement.

Paolo Villani, Daniel Andrés Arcones, Jörg F. Unger, Martin Weiser

CoRR, March, 2026

2025

Integrating custom constitutive models into FEniCSx: A versatile approach and case studies.

Sjard Mathis Rosenbusch, Philipp Diercks, Vitaliy Kindrachuk, Jörg F. Unger

Adv. Eng. Softw., 2025

2024

Posterior sampling with Adaptive Gaussian Processes in Bayesian parameter identification.

Paolo Villani, Daniel Andrés Arcones, Jörg F. Unger, Martin Weiser

CoRR, 2024

Embedded Model Bias Quantification with Measurement Noise for Bayesian Model Calibration.

Daniel Andrés Arcones, Martin Weiser, Phaedon-Stelios Koutsourelakis, Jörg F. Unger

CoRR, 2024

Adaptive Gaussian Process Regression for Bayesian inverse problems.

Paolo Villani, Jörg F. Unger, Martin Weiser

CoRR, 2024

2023

Model bias identification for Bayesian calibration of stochastic digital twins of bridges.

Daniel Andrés Arcones, Martin Weiser, Phaedon-Stelios Koutsourelakis, Jörg F. Unger

CoRR, 2023

2022

Evaluation of tools for describing, reproducing and reusing scientific workflows.

Philipp Diercks, Dennis Gläser, Ontje Lünsdorf, Michael Selzer, Bernd Flemisch, Jörg F. Unger

CoRR, 2022

Multiscale modeling of linear elastic heterogeneous structures based on a localized model order reduction approach.

Philipp Diercks, Karen Veroy, Annika Robens-Radermacher, Jörg F. Unger

CoRR, 2022

2020

Efficient structural reliability analysis by using a PGD model in an adaptive importance sampling schema.

Annika Robens-Radermacher, Jörg F. Unger

Adv. Model. Simul. Eng. Sci., 2020

2011

An inverse parameter identification procedure assessing the quality of the estimates using Bayesian neural networks.

Jörg F. Unger, Carsten Könke

Appl. Soft Comput., 2011