| Constitutive artificial neural networks: A fast and general approach to predictive data-driven constitutive modeling by deep learning K Linka, M Hillgärtner, KP Abdolazizi, RC Aydin, M Itskov, CJ Cyron Journal of Computational Physics 429, 110010, 2021 | 131 | 2021 |
| Fatigue of soft fibrous tissues: Multi-scale mechanics and constitutive modeling K Linka, M Hillgärtner, M Itskov Acta biomaterialia 71, 398-410, 2018 | 25 | 2018 |
| Computational design of biopolymer aerogels and predictive modelling of their nanostructure and mechanical behaviour R Chandrasekaran, M Hillgärtner, K Ganesan, B Milow, M Itskov, A Rege Scientific Reports 11 (1), 10198, 2021 | 22 | 2021 |
| Mechanics of biopolymer aerogels based on microstructures generated from 2-d Voronoi tessellations A Rege, M Hillgärtner, M Itskov The Journal of Supercritical Fluids 151, 24-29, 2019 | 22 | 2019 |
| Stability Studies of Starch Aerogel Formulations for Biomedical Applications V Santos-Rosales, G Alvarez-Rivera, M Hillgärtner, A Cifuentes, ... Biomacromolecules 21 (12), 5336-5344, 2020 | 16 | 2020 |
| Automatic generation of interpretable hyperelastic material models by symbolic regression R Abdusalamov, M Hillgärtner, M Itskov International Journal for Numerical Methods in Engineering 124 (9), 2093-2104, 2023 | 15 | 2023 |
| Worm-like chain model extensions for highly stretched tropocollagen molecules M Hillgärtner, K Linka, M Itskov Journal of biomechanics 80, 129-135, 2018 | 14 | 2018 |
| Microstructural and mechanical characterization of carbon aerogels: An in-situ and digital image correlation-based study A Rege, M Schwan, L Chernova, M Hillgärtner, M Itskov, B Milow Journal of Non-Crystalline Solids 529, 119568, 2020 | 12 | 2020 |
| Towards patient-specific computational modelling of articular cartilage on the basis of advanced multiparametric MRI techniques K Linka, A Schäfer, M Hillgärtner, M Itskov, M Knobe, C Kuhl, L Hitpass, ... Scientific Reports 9 (1), 7172, 2019 | 12 | 2019 |
| Temperature-Dependent Stiffening and Inelastic Behavior of Newly Synthesized Fiber-Reinforced Super Flexible Silica Aerogels A Rege, P Voepel, E Okumus, M Hillgärtner, M Itskov, B Milow Materials 12 (18), 2878, 2019 | 4 | 2019 |
| An amended approximation of the non-Gaussian probability distribution function E Darabi, M Hillgärtner, M Itskov Mathematics and Mechanics of Solids 28 (2), 521-532, 2023 | 3 | 2023 |
| Hyperelastic material modelling using symbolic regression R Abdusalamov, M Hillgärtner, M Itskov PAMM 22 (1), e202200263, 2023 | 2 | 2023 |
| A mesoscale model of non‐crimp fabrics based on a deep learning framework S Zhou, M Hillgärtner, R Abdusalamov, T X. Duong, M Itskov PAMM 22 (1), e202200298, 2023 | 1 | 2023 |
| Geometric and finite element modeling of biopolymer aerogels to characterize their microstructural and mechanical properties R Chandrasekaran, M Hillgärtner, A Rege, B Milow, M Itskov PAMM 21 (1), e202100122, 2021 | 1 | 2021 |
| Constitutive artificial neural networks: a general anisotropic constitutive modeling framework utilizing machine learning M Hillgärtner, K Linka, KP Abdolazizi, RC Aydin, M Itskov, CJ Cyron PAMM 21 (1), e202100072, 2021 | 1 | 2021 |
| User-defined material subroutines for FEM calculations based on automatic differentiation of strain energy functions M Hillgärtner, T Guo, M Itskov Conference Proceedings of the GACM 2019, 385-388, 2019 | 1 | 2019 |
| Application of Voronoi tessellations to model cellular aerogels M Chandrasekaran, Rajesh, Hillgärtner, Markus, Rege, Ameya, Milow, Barbara ... Conference Proceedings of the GACM 2019, 409-412, 2019 | 1* | 2019 |
| A generalized inelastic modeling concept for soft fibrous tissues M Hillgärtner, K Linka, M Itskov GAMM‐Mitteilungen, e201900014, 2019 | 1 | 2019 |
| Computational Modelling of Nanoporous Materials R Chandrasekaran, M Hillgärtner, M Itskov, A Rege PAMM 23 (1), e202200187, 2023 | | 2023 |
| Modeling of soft biological tissues by micro-mechanically motivated and data-driven approaches M Hillgärtner | | 2021 |
Kevin LinkaHamburg University of TechnologyBestätigte E-Mail-Adresse bei stanford.edu
