Henning Wessels

According to our database, Henning Wessels authored at least 10 papers between 2020 and 2024.

Collaborative distances:

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

2024

Generative adversarial networks enable outlier detection and property monitoring for additive manufacturing of complex structures.

Alexander Henkes, Leon Herrmann, Henning Wessels, Stefan Kollmannsberger

Eng. Appl. Artif. Intell., 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

CoRR, 2024

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

Model order reduction for transient coupled diffusion-deformation of hydrogels.

Gopal Agarwal, Jorge-Humberto Urrea-Quintero, Henning Wessels, Thomas Wick

CoRR, 2024

2022

Inferring Displacement Fields from Sparse Measurements Using the Statistical Finite Element Method.

Vahab B. Narouie, Henning Wessels, Ulrich Römer

CoRR, 2022

Physics-Informed Neural Networks for Material Model Calibration from Full-Field Displacement Data.

David Anton, Henning Wessels

CoRR, 2022

Spiking neural networks for nonlinear regression.

Alexander Henkes, Jason K. Eshraghian, Henning Wessels

CoRR, 2022

Three-dimensional microstructure generation using generative adversarial neural networks in the context of continuum micromechanics.

Alexander Henkes, Henning Wessels

CoRR, 2022

2021

Physics informed neural networks for continuum micromechanics.

Alexander Henkes, Henning Wessels, Rolf Mahnken

CoRR, 2021

2020

The Neural Particle Method - An Updated Lagrangian Physics Informed Neural Network for Computational Fluid Dynamics.

Henning Wessels, Christian Weißenfels, Peter Wriggers

CoRR, 2020