Dr. Franz Dammass
© TUD/NEFM
Chair of Computational and Experimental Solid Mechanics
Visiting address:
Zeunerbau, Room 356 George-Bähr-Straße 3c
01069 Dresden
Research
- Mechanics of soft solids, e.g., rubbery polymers and natural materials
- Fracture and damage of inelastic and heterogeneous materials
- Phase-field modelling of fracture
- Google Scholar
- Research Gate
Teaching
Lectures and tutorials for advanced courses:
- Summer term: Lecture Advanced Topics in Finite Element Analysis (Master Computational Modelling and Simulation)
- Winter term: Lecture Finite element methods (9th semester, track Vehicle engineering) and tutorial Multiscale modelling (9th semester)
Publications
2026
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Precise, efficient and flexible modeling of crystallizing elastomers based on physics-augmented neural networks, 15 Jun 2026, In: Computer Methods in Applied Mechanics and Engineering. 455, 118852Electronic (full-text) versionResearch output: Contribution to journal > Research article
2025
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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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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
2024
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Rate- and temperature-dependent ductile-to-brittle fracture transition: Experimental investigation and phase-field analysis for toffee, 20 Jan 2024, In: Engineering Fracture Mechanics. 297 (2024), 24 p., 109878Electronic (full-text) versionResearch output: Contribution to journal > Research article
2023
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Phase-field modelling and analysis of rate-dependent fracture phenomena at finite deformation, Nov 2023, In: Computational Mechanics : solids, fluids, engineered materials, aging infrastructure, molecular dynamics, heat transfer, manufacturing processes, optimization, fracture & integrity. 72, 5, p. 859–883, 25 p.Electronic (full-text) versionResearch output: Contribution to journal > Research article
Conference talks
2026
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A precise, efficient and flexible neural network model for strain-crystallizing rubber Friedrichs, K. (Speaker), Dammaß, F. G. (Involved person), Kalina, K. A. (Involved person), Kästner, M. (Involved person) 18 Mar 2026 Activity: Talk or presentation at external institutions/events > Talk/Presentation > Contributed
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Efficient modelling of rubber fracture by combining phase-field and neural networks Dammaß, F. G. (Speaker) 26 Feb 2026 Activity: Talk or presentation at external institutions/events > Talk/Presentation > Contributed
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When invariants matter: Invariant-based physics-augmented neural networks and applications to hybrid modelling of fracture Dammaß, F. G. (Speaker) 19 Jan 2026 Activity: Talk or presentation at external institutions/events > Talk/Presentation > Contributed
2025
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When invariants matter: Invariant-based physics-augmented neural networks Dammaß, F. G. (Speaker), Friedrichs, K. (Involved person), Kalina, K. A. (Involved person), Kästner, M. (Involved person) 24 Sep 2025 Activity: Talk or presentation at external institutions/events > Keynote > Invited
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Data-driven modeling of crystallizing elastomers based on physics-augmented neural networks Friedrichs, K. (Speaker), Dammaß, F. G. (Involved person), Kalina, K. A. (Involved person), Kästner, M. (Involved person) 23 Sep 2025 Activity: Talk or presentation at external institutions/events > Talk/Presentation > Contributed