Dr.-Ing. Karl Kalina
© TUD/NEFM
Dr.-Ing. Karl Kalina
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Chair of Computational and Experimental Solid Mechanics
Visiting address:
Zeunerbau, Room 356 George-Bähr-Straße 3c
01069 Dresden
Research
- Data-driven simulation techniques
- Usage of neural networks in solid mechanics
- Modeling and simulation of magnetoactive materials
- Nonlinear FEM, homogenisation methods
- Coupled Problems, constitutive modeling, parameter identification
- Charectirization and reconstruction of microstructures
- Postdoc in RTG 2868 D3 Graduiertenkolleg 2868
- ResearchGate, GoogleScholar
Teaching
- Lecture Materialtheorie in summer term
- Lecture Mehrskalige numerische Modellierung in winter term
- Tutorials for basic and advanced courses
Publications
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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When invariants matter: The role of I1 and I2 in neural network models of incompressible hyperelasticity, Nov 2025, In: Mechanics of Materials. 210, 105443Electronic (full-text) versionResearch output: Contribution to journal > Research article
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Data-Driven Inverse Design of Spinodoid Architected Materials, 14 Oct 2025, In: GAMM-Mitteilungen. 48, 4, e70008Electronic (full-text) versionResearch output: Contribution to journal > Research article
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Inverse design of anisotropic microstructures using physics-augmented neural networks, Oct 2025, In: Journal of the Mechanics and Physics of Solids. 203, 106161Electronic (full-text) versionResearch output: Contribution to journal > Research article
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Neural networks meet phase-field: A hybrid fracture model, 30 Mar 2025, In: Computer Methods in Applied Mechanics and Engineering. 440 (2025), 27 p., 117937Electronic (full-text) versionResearch output: Contribution to journal > Research article
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Inverse design of spinodoid structures using Bayesian optimization, 19 Feb 2025, In: Computational mechanics : solids, fluids, engineered materials, aging infrastructure, molecular dynamics, heat transfer, manufacturing processes, optimization, fracture & integrity. (2025), 22 p., 104726Electronic (full-text) versionResearch output: Contribution to journal > Research article
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Fast descriptor-based 2D and 3D microstructure reconstruction using the Portilla-Simoncelli algorithm, Feb 2025, In: Engineering with computers. 41 (2025), 1, p. 589-607, 19 p., 113043Electronic (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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Utilizing physics‐augmented neural networks to predict the material behavior according to Yeoh's law, Dec 2024, In: Proceedings in Applied Mathematics and Mechanics: PAMM. 24, 4, 11 p., e202400213Electronic (full-text) versionResearch output: Contribution to journal > Research article
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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
This information is provided by the FIS.
Conference Talks
2026
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A Perspective on Material Modelingwith Physics-Augmented Neural Networks Kalina, K. A. (Speaker) 19 Jan 2026 Activity: Talk or presentation at external institutions/events > Keynote > Invited
2025
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A Perspective on Material Modeling with Physics-Augmented Neural Networks Kalina, K. A. (Speaker) 17 Dec 2025 Activity: Talk or presentation at external institutions/events > Talk/Presentation > Invited
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Data-Driven Constitutive Modeling with Physics-Augmented Neural Networks Kalina, K. A. (Speaker) 3 Nov 2025 Activity: Talk or presentation at external institutions/events > Keynote > Invited
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Constitutive Modeling with Physics-Augmented Neural Networks Kalina, K. A. (Speaker) 28 Oct 2025 Activity: Talk or presentation at external institutions/events > Keynote > Invited
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A data-driven decoupled multiscale scheme for the modeling of structured magnetorheological elastomers Roth, H. T. (Speaker), Gebhart, P. (Involved person), Kalina, K. A. (Involved person), Kästner, M. (Involved person), Wallmersperger, T. (Involved person) 30 Sep 2025 Activity: Talk or presentation at external institutions/events > Talk/Presentation > Contributed
This information is provided by the FIS.
Awards
- DAAD research scholarship for young scientists with doctorates (04/23 – 09/23)
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TU Dresden Postdoc starter kit (01/23 – 09/24)
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Dr.-Klaus-Körper Awardee in appreciation for an excellent dissertation in Applied Mathematics and Mechanics 2022
Activity as a reviewer for scientific project proposals
Activity as a reviewer for scientific journals
- Acta Mechanica
- Archive of Applied Mechanics
- Cement and Concrete Composites
- Computational Mechanics
- Computer Methods in Applied Mechanics and Engineering
- Data-Centric Engineering
- European Journal of Mechanics - A/Solids
- Examples and Counterexamples
- International Journal for Numerical Methods in Engineering
- International Journal of Material Forming
- International Journal of Solids and Structures
- Journal of the Mechanics and Physics of Solids
- Mechanics of Materials
- Mechanics of Time-Dependent Materials
- Technische Mechanik