Dr.-Ing. Jörg Brummund
© TUD/NEFM
Name
Dr.-Ing. Jörg Brummund
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Organization Name
Chair of Computational and Experimental Solid Mechanics
Address
work
Visiting address:
Zeunerbau, Room 354 George-Bähr-Straße 3c
01069 Dresden
Research
- Material modelling
- Modelling of magnetic materials
- Phase field modelling
- Modelling of hydrogels
Teaching
- Tutorials for basic and advanced courses
- Lectures: Tensor analysis, Analytic methods in solid mechanics, Variational calculus
Publications
27 Entries
2026
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Construction of minimal integrity bases for anisotropic hyperelasticity via structural tensors, 8 Jul 2026, In: Journal of the Mechanics and Physics of Solids. 216, 38 p., 106763Electronic (full-text) versionResearch output: Contribution to journal > Research article
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A physics-augmented neural network framework for finite strain incompressible viscoelasticity, 15 Jun 2026, In: Computer Methods in Applied Mechanics and Engineering. 455, 32 p., 118892Electronic (full-text) versionResearch output: Contribution to journal > Research article
2025
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A dual-stage constitutive modeling framework based on finite strain data-driven identification and physics-augmented neural networks, 1 Dec 2025, In: Computer Methods in Applied Mechanics and Engineering. 447, 118289Electronic (full-text) versionResearch output: Contribution to journal > Research article
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Neural networks meet anisotropic hyperelasticity: A framework based on generalized structure tensors and isotropic tensor functions, 21 Jan 2025, In: Computer Methods in Applied Mechanics and Engineering. 437, 117725Electronic (full-text) versionResearch output: Contribution to journal > Research article
2024
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Viscoelasticty with physics-augmented neural networks: model formulation and training methods without prescribed internal variables, 6 May 2024, In: Computational Mechanics : solids, fluids, engineered materials, aging infrastructure, molecular dynamics, heat transfer, manufacturing processes, optimization, fracture & integrity. 74, 6, p. 1279-1301, 23 p.Electronic (full-text) versionResearch output: Contribution to journal > Research article
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Neural network-based multiscale modeling of finite strain magneto-elasticity with relaxed convexity criteria, Mar 2024, In: Computer Methods in Applied Mechanics and Engineering. 421, 116739Electronic (full-text) versionResearch output: Contribution to journal > Research article
2023
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Neural networks meet hyperelasticity: A guide to enforcing physics, Oct 2023, In: Journal of the Mechanics and Physics of Solids. 179, 105363Electronic (full-text) versionResearch output: Contribution to journal > Research article
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Overview of phase-field models for fatigue fracture in a unified framework, 4 Aug 2023, In: Engineering Fracture Mechanics. 288, 109318Electronic (full-text) versionResearch output: Contribution to journal > Research article
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A comparative study on different neural network architectures to model inelasticity, 18 Jul 2023, In: International Journal for Numerical Methods in Engineering. 124 (2023), 21, p. 4802-4840, 39 p.Electronic (full-text) versionResearch output: Contribution to journal > Research article
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FEANN: an efficient data-driven multiscale approach based on physics-constrained neural networks and automated data mining, 8 Feb 2023, In: Computational Mechanics : solids, fluids, engineered materials, aging infrastructure, molecular dynamics, heat transfer, manufacturing processes, optimization, fracture & integrity. 71, 5, p. 827-851, 25 p.Electronic (full-text) versionResearch output: Contribution to journal > Research article
This information is provided by the FIS.
Talks
38 Entries
2026
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Robust Calibration of Constitutive Models Based on Full-Field Data Linden, L. (Speaker), Kalina, K. A. (Involved person), Brummund, J. (Involved person), Riemer, B. (Speaker), Kästner, M. (Involved person) 1 Sep 2026 → 4 Sep 2026 Activity: Talk or presentation at external institutions/events > Talk/Presentation > Contributed
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Robust Calibration of Constitutive Models from Full-Field Data Using Data-Driven Identification and Neural Networks Linden, L. (Speaker), Kalina, K. A. (Involved person), Brummund, J. (Involved person), Riemer, B. (Speaker), Kästner, M. (Involved person) 19 Jul 2026 → 24 Jul 2026 Activity: Talk or presentation at external institutions/events > Talk/Presentation > Contributed
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Viscoelasticity with Physics-Augmented Neural Networks: Model Formulation and Training Strategies Kalina, K. A. (Speaker), Riemer, B. (Involved person), Brummund, J. (Involved person), Linden, L. (Involved person), Klein, D. (Involved person), Weeger, O. (Involved person), Kästner, M. (Involved person) 19 Jul 2026 → 24 Jul 2026 Activity: Talk or presentation at external institutions/events > Keynote > Invited
2025
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A Dual-Stage Constitutive Modeling Framework based on Finite Strain Data-Driven Identification and Physics-Augmented Neural Networks Linden, L. (Speaker), Kalina, K. A. (Involved person), Brummund, J. (Involved person), Riemer, B. (Speaker), Kästner, M. (Involved person) 21 Sep 2025 → 24 Sep 2025 Activity: Talk or presentation at external institutions/events > Talk/Presentation > Contributed
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Physics-augmented neural networks meet data-driven identification: A two-step constitutive modeling framework Linden, L. (Speaker), Kalina, K. A. (Involved person), Brummund, J. (Involved person), Riemer, B. (Speaker), Kästner, M. (Involved person) 2 Sep 2025 → 5 Sep 2025 Activity: Talk or presentation at external institutions/events > Talk/Presentation > Contributed
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Anisotropic hyperelasticity meets physics-augmented neural networks Kalina, K. A. (Speaker), Brummund, J. (Involved person), Sun, W. (Involved person), Kästner, M. (Involved person) 7 Apr 2025 → 11 Apr 2025 Activity: Talk or presentation at external institutions/events > Talk/Presentation > Contributed
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Physics-augmented neural networks meet data-driven identification – A dual-stage constitutive modeling framework Linden, L. (Speaker), Kalina, K. A. (Involved person), Brummund, J. (Involved person), Riemer, B. (Speaker), Kästner, M. (Involved person) 7 Apr 2025 → 11 Apr 2025 Activity: Talk or presentation at external institutions/events > Talk/Presentation > Contributed
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Dual-stage framework for constitutive modeling of hyperelastic materials based on data-driven identification and neural network Linden, L. (Speaker), Kalina, K. A. (Involved person), Brummund, J. (Involved person), Riemer, B. (Speaker), Kästner, M. (Involved person) 18 Feb 2025 → 21 Feb 2025 Activity: Talk or presentation at external institutions/events > Talk/Presentation > Contributed
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Constitutive Modeling of Anisotropic Elasticityand Magneto-Elasticity with Neural Networks Kalina, K. A. (Speaker), Brummund, J. (Involved person), Roth, H. T. (Involved person), Gebhart, P. (Involved person), Sun, W. (Involved person), Kästner, M. (Involved person) 17 Feb 2025 → 21 Feb 2025 Activity: Talk or presentation at external institutions/events > Talk/Presentation > Contributed
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Physics-augmented neural networks meet anisotropic hyperelasticity Kalina, K. A. (Speaker), Brummund, J. (Involved person), Sun, W. (Involved person), Kästner, M. (Involved person) 11 Feb 2025 → 12 Feb 2025 Activity: Talk or presentation at external institutions/events > Talk/Presentation > Contributed
This information is provided by the FIS.