Dipl.-Ing. Lennart Linden

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Visiting address:

Zeunerbau, Room 350 George-Bähr-Straße 3c

01069 Dresden

Research

7 Entries

A dual-stage constitutive modeling framework based on finite strain data-driven identification and physics-augmented neural networksLinden, L., Kalina, K. A., Brummund, J., Riemer, B. & Kästner, M., 1 Dec 2025, In: Computer Methods in Applied Mechanics and Engineering. 447, 118289Electronic (full-text) versionResearch output: Contribution to journal > Research article

Neural network-based multiscale modeling of finite strain magneto-elasticity with relaxed convexity criteriaKalina, K. A., Gebhart, P., Brummund, J., Linden, L., Sun, W. & Kästner, M., Mar 2024, In: Computer Methods in Applied Mechanics and Engineering. 421, 116739Electronic (full-text) versionResearch output: Contribution to journal > Research article

Neural networks meet hyperelasticity: A guide to enforcing physicsLinden, L., Klein, D., Kalina, K. A., Brummund, J., Weeger, O. & Kästner, M., Oct 2023, In: Journal of the Mechanics and Physics of Solids. 179, 105363Electronic (full-text) versionResearch output: Contribution to journal > Research article
FEANN: an efficient data-driven multiscale approach based on physics-constrained neural networks and automated data miningKalina, K. A., Linden, L., Brummund, J. & Kästner, M., 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

FEANN - An efficient data-driven multiscale approach based on physics-constrained neural networks and automated data miningKalina, K. A., Linden, L., Brummund, J. & Kästner, M., 3 Jul 2022, 22 p.Electronic (full-text) versionResearch output: Preprint/documentation/report > Preprint
Automated constitutive modeling of isotropic hyperelasticity based on artificial neural networksKalina, K. A., Linden, L., Brummund, J., Metsch, P. & Kästner, M., 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

Thermodynamically consistent constitutive modeling of isotropic hyperelasticity based on artificial neural networksLinden, L., Kalina, K. A., Brummund, J., Metsch, P. & Kästner, M., 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

25 Entries

An automated dual-stage approach for constitutive modeling of hyperelastic solids Linden, L. (Speaker), Kalina, K. A. (Involved person), Brummund, J. (Involved person), Kästner, M. (Involved person) 3 Jun 2024 → 7 Jun 2024 Activity: Talk or presentation at external institutions/events > Talk/Presentation > Contributed
Automated constitutive modeling of hyperelastic solids based on physics-augmented neural networks Linden, L. (Speaker), Kalina, K. A. (Involved person), Brummund, J. (Involved person), Kästner, M. (Involved person) 6 Feb 2024 → 7 Feb 2024 Activity: Talk or presentation at external institutions/events > Talk/Presentation > Contributed
Multiscale Modeling with Physics-Augmented Neural Networks Kalina, K. A. (Speaker), Brummund, J. (Involved person), Gebhart, P. (Involved person), Linden, L. (Involved person), Sun, W. (Involved person), Kästner, M. (Involved person) 6 Feb 2024 → 7 Feb 2024 Activity: Talk or presentation at external institutions/events > Talk/Presentation > Contributed

Physics-augmented neural networks for constitutive modeling of compressible hyperelastic materials Linden, L. (Speaker), Kalina, K. A. (Involved person), Brummund, J. (Involved person), Klein, D. (Speaker), Weeger, O. (Speaker), Kästner, M. (Involved person) 22 Nov 2023 → 23 Nov 2023 Activity: Talk or presentation at external institutions/events > Talk/Presentation > Contributed
Physics-augmented neural networks meet hyperelasticity: A guide how to enforce general physical requirements Linden, L. (Speaker), Kalina, K. A. (Involved person), Brummund, J. (Involved person), Klein, D. (Speaker), Weeger, O. (Speaker), Kästner, M. (Involved person) 19 Jun 2023 → 21 Jun 2023 Activity: Talk or presentation at external institutions/events > Talk/Presentation > Contributed

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