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Henning Wessels
Henning Wessels
Institute of Computational Modeling in Civil Engineering, Technische Universität Braunschweig
Bestätigte E-Mail-Adresse bei tu-braunschweig.de - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Physics informed neural networks for continuum micromechanics
A Henkes, H Wessels, R Mahnken
PAMM 21 (1), e202100040, 2021
1372021
The Neural Particle Method -- An Updated Lagrangian Physics Informed Neural Network for Computational Fluid Dynamics
H Wessels, C Weißenfels, P Wriggers
Computer Methods in Applied Mechanics and Engineering, 2020
1192020
Generating virtual process maps of SLM using powder-scale SPH simulations
JP Fürstenau, H Wessels, C Weißenfels, P Wriggers
Computational Particle Mechanics 7 (4), 655-677, 2020
642020
Investigation of heat source modeling for selective laser melting
H Wessels, T Bode, C Weißenfels, P Wriggers, TI Zohdi
Computational Mechanics 63, 949-970, 2019
522019
Metal particle fusion analysis for additive manufacturing using the stabilized optimal transportation meshfree method
H Wessels, C Weißenfels, P Wriggers
Computer Methods in Applied Mechanics and Engineering 339, 91-114, 2018
462018
Three-dimensional microstructure generation using generative adversarial neural networks in the context of continuum micromechanics
A Henkes, H Wessels
Computer Methods in Applied Mechanics and Engineering 400, 115497, 2022
382022
Spiking neural networks for nonlinear regression
A Henkes, JK Eshraghian, H Wessels
Royal Society Open Science 11 (5), 231606, 2024
342024
Physics-informed neural networks for material model calibration from full-field displacement data
D Anton, H Wessels
arXiv preprint arXiv:2212.07723, 2022
172022
Identification of material parameters from full-field displacement data using physics-informed neural networks
D Anton, H Wessels
Researchgate Preprint, 2021
122021
Thermo-mechanical modeling for selective laser melting
H Wessels
Leibniz Universität Hannover, Institut für Kontinuumsmechanik; B 19/3, 2019
122019
Computational homogenization using convolutional neural networks
H Wessels, C Böhm, F Aldakheel, M Hüpgen, M Haist, L Lohaus, ...
Current trends and open problems in computational mechanics, 569-579, 2022
112022
Inferring displacement fields from sparse measurements using the statistical finite element method
VB Narouie, H Wessels, U Römer
Mechanical Systems and Signal Processing 200, 110574, 2023
92023
Current trends and open problems in computational mechanics
F Aldakheel, B Hudobivnik, M Soleimani, H Wessels, C Weißenfels, ...
Springer, 2022
92022
Current trends and open problems in computational mechanics
S Kumar, DM Kochmann, F Aldakheel, B Hudobivnik, M Soleimani, ...
Springer,, 2022
92022
Reduced and all-at-once approaches for model calibration and discovery in computational solid mechanics
U Römer, S Hartmann, JA Tröger, D Anton, H Wessels, M Flaschel, ...
Applied Mechanics Reviews, 1-51, 2024
72024
Simulation von selective laser melting prozessen
H Wessels, M Gieseke, C Weißenfels, S Kaierle, P Wriggers, L Overmeyer
Additive Manufacturing Quantifiziert: Visionäre Anwendungen und Stand der …, 2017
62017
Parameter identification and uncertainty propagation of hydrogel coupled diffusion-deformation using POD-based reduced-order modeling
G Agarwal, JH Urrea-Quintero, H Wessels, T Wick
Computational Mechanics, 1-31, 2024
22024
Deterministic and statistical calibration of constitutive models from full-field data with parametric physics-informed neural networks
D Anton, JA Tröger, H Wessels, U Römer, A Henkes, S Hartmann
arXiv preprint arXiv:2405.18311, 2024
22024
Gan enables outlier detection and property monitoring for additive manufacturing of complex structures
A Henkes, L Herrmann, H Wessels, S Kollmannsberger
Available at SSRN 4627723, 2023
12023
Gaussian Processes enabled model calibration in the context of deep geological disposal
L Paul, JH Urrea-Quintero, U Fiaz, A Hussein, H Yaghi, H Wessels, ...
arXiv preprint arXiv:2409.02576, 2024
2024
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