Dr.-Ing. Hagen Holthusen
Email
Physics-embedded neural networks, artificial intelligence, constitutive modeling, multi field analysis, model order reduction
Member at FAU MoD, Research Center for Mathematics of Data
Friedrich-Alexander-Universität Erlangen-Nürnberg
Department of Mechanical Engineering
Institute of Applied Mechanics (LTM)
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News / Initiatives

FAU MoD Workshop L. Liverani / H. Holthusen, Talk: A Neural Network Companion to Inelasticity
Authors: Hagen Holthusen
Date: September, 2025
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AI in Mechanics
Authors: Hagen Holthusen
Date: June, 2025
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Publications
2026
- , , :
Accounting for plasticity: An extension of inelastic constitutive artificial neural networks
In: European Journal of Mechanics A-Solids 117 (2026), Article No.: 105998
ISSN: 0997-7538
DOI: 10.1016/j.euromechsol.2025.105998 - , , , :
The mechanics and physics of tofu: Understanding hydrated soft solids through feature networks
In: Journal of the Mechanics and Physics of Solids 213 (2026), Article No.: 106632
ISSN: 0022-5096
DOI: 10.1016/j.jmps.2026.106632 - , , , :
Adaptive Material Fingerprinting for the fast discovery of polyconvex feature combinations in isotropic and anisotropic hyperelasticity
In: International Journal of Engineering Science 227 (2026), Article No.: 104594
ISSN: 0020-7225
DOI: 10.1016/j.ijengsci.2026.104594 - , :
A complement to neural networks for anisotropic inelasticity at finite strains
In: Computer Methods in Applied Mechanics and Engineering 450 (2026), Article No.: 118612
ISSN: 0045-7825
DOI: 10.1016/j.cma.2025.118612 - , , :
A convex route to thermoelasticity: Learning internal energy and dissipation
In: Computer Methods in Applied Mechanics and Engineering 459 (2026), Article No.: 119082
ISSN: 0045-7825
DOI: 10.1016/j.cma.2026.119082 - , , , , , :
Influence of the geometry on the mechanical performance of tubular interlockings: A study of the Sine Block
In: International Journal of Solids and Structures 339 (2026), Article No.: 114148
ISSN: 0020-7683
DOI: 10.1016/j.ijsolstr.2026.114148 - , , , , :
A note on constitutive artificial neural networks for finite strain plasticity
In: Mechanics Research Communications 155 (2026), Article No.: 104707
ISSN: 0093-6413
DOI: 10.1016/j.mechrescom.2026.104707
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