Dipl.-Ing. Lennart Linden
Dipl.-Ing. Lennart Linden
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Chair of Computational and Experimental Solid Mechanics
Visiting address:
Zeunerbau, Room 350 George-Bähr-Straße 3c
01069 Dresden
Research
- Data-driven material modeling and simulation methods
- Application of neural networks in solid mechanics
- Embedding basic physical principles in neural networks
- Data-driven identification based on full-field data
- ResearchGate, GoogleScholar
Teaching
- Tutorial Continuum Mechanics (main studies)
- Tutorial Finite Element Method (main studies)
- Tutorial Statics and Dynamics (basic studies)
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
2024
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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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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
2022
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FEANN - An efficient data-driven multiscale approach based on physics-constrained neural networks and automated data mining, 3 Jul 2022, 22 p.Electronic (full-text) versionResearch output: Preprint/documentation/report > Preprint
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Automated constitutive modeling of isotropic hyperelasticity based on artificial neural networks, Jan 2022, In: Computational Mechanics : solids, fluids, engineered materials, aging infrastructure, molecular dynamics, heat transfer, manufacturing processes, optimization, fracture & integrity. 69, p. 213-232, 20 p.Electronic (full-text) versionResearch output: Contribution to journal > Research article
2021
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Thermodynamically consistent constitutive modeling of isotropic hyperelasticity based on artificial neural networks, 2021, In: Proceedings in Applied Mathematics and Mechanics: PAMM. 21, 1, p. e202100144, 3 p.Electronic (full-text) versionResearch output: Contribution to journal > Conference article
Conference Talks
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
Monographs
- L. Linden, Implementierung eines datengetriebenen Algorithmus zur Simulation von Fachwerken mit nicht linear elastischem Materialverhalten, Bachelor Thesis Mathematics, 2022
- L. Linden, Datengetriebene Modellierung anisotroper Elastizität bei finiten Deformationen mittels künstlicher neuronaler Netze, Diploma Thesis Mechanical Engineering, 2020