Dipl.-Ing. Lennart Linden

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Visiting address:

Zeunerbau, Room 350 George-Bähr-Straße 3c

01069 Dresden

Research

6 Entries

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. 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. 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

L. Linden, K. A. Kalina, J. Brummund, M. Kästner, Automated constitutive modeling of isotropic hyperelasticity based on artificial neural networks, 91st Annual Meeting of the International Association of Applied Mathematics and Mechanics, Online, 2021
L. Linden, K. A. Kalina, J. Brummund, M. Kästner, Constitutive modeling of isotropic and anisotropic hyperelastic solids based on physically informed artificial neural networks, 18th European Mechanics of Materials Conference, Oxford, 2022
L. Linden, K. A. Kalina, J. Brummund, M. Kästner, An efficient data-driven multiscale scheme based on physics-constrained neural networks and autonomous data mining, 92nd Annual Meeting of the International Association of Applied Mathematics and Mechanics, Aachen, 2022
L. Linden, K. A. Kalina, J. Brummund, M. Kästner, An automated data-driven multiscale scheme based on physically informed neural networks, 9th GACM Colloquium on Computational Mechanics 2022, Essen, 2022

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