Fast descriptor-based 2D and 3D microstructure reconstruction using the Portilla-Simoncelli algorithm.

Karl A. Kalina

Paul Seibert Alexander Raßloff Karl A. Kalina Markus Kästner Fast descriptor-based 2D and 3D microstructure reconstruction using the Portilla-Simoncelli algorithm. 589-607 2025 February 41 Eng. Comput. 1 https://doi.org/10.1007/s00366-024-02026-7 db/journals/ewc/ewc41.html#SeibertRKK25 streams/journals/ewc

Lennart Linden Karl A. Kalina Jörg Brummund Brain Riemer Markus Kästner A dual-stage constitutive modeling framework based on finite strain data-driven identification and physics-augmented neural networks. 2025 April abs/2504.15492 CoRR https://doi.org/10.48550/arXiv.2504.15492 db/journals/corr/corr2504.html#abs-2504-15492 streams/journals/corr

Heinrich T. Roth Philipp Gebhart Karl A. Kalina Thomas Wallmersperger Markus Kästner A data-driven multiscale scheme for anisotropic finite strain magneto-elasticity. 2025 October abs/2510.24197 CoRR https://doi.org/10.48550/arXiv.2510.24197 db/journals/corr/corr2510.html#abs-2510-24197 streams/journals/corr

Karl A. Kalina Jörg Brummund Markus Kästner A physics-augmented neural network framework for finite strain incompressible viscoelasticity. 2025 November abs/2511.02959 CoRR https://doi.org/10.48550/arXiv.2511.02959 db/journals/corr/corr2511.html#abs-2511-02959 streams/journals/corr

Paul Seibert Markus Husert Maximilian P. Wollner Karl A. Kalina Markus Kästner Fast Reconstruction of Microstructures with Ellipsoidal Inclusions Using Analytical Descriptors. 103635 2024 January 166 Comput. Aided Des. https://doi.org/10.1016/j.cad.2023.103635 db/journals/cad/cad166.html#SeibertHWKK24

Max Rosenkranz Karl A. Kalina Jörg Brummund WaiChing Sun Markus Kästner Viscoelasticty with physics-augmented neural networks: Model formulation and training methods without prescribed internal variables. 2024 abs/2401.14270 CoRR https://doi.org/10.48550/arXiv.2401.14270 db/journals/corr/corr2401.html#abs-2401-14270

Karl A. Kalina Jörg Brummund WaiChing Sun Markus Kästner Neural networks meet anisotropic hyperelasticity: A framework based on generalized structure tensors and isotropic tensor functions. 2024 abs/2410.03378 CoRR https://doi.org/10.48550/arXiv.2410.03378 db/journals/corr/corr2410.html#abs-2410-03378 streams/journals/corr

Asghar A. Jadoon Karl A. Kalina Manuel K. Rausch Reese E. Jones Jan Niklas Fuhg Inverse design of anisotropic microstructures using physics-augmented neural networks. 2024 abs/2412.13370 CoRR https://doi.org/10.48550/arXiv.2412.13370 db/journals/corr/corr2412.html#abs-2412-13370 streams/journals/corr

Lennart Linden Dominik K. Klein Karl A. Kalina Jörg Brummund Oliver Weeger Markus Kästner Neural networks meet hyperelasticity: A guide to enforcing physics. 2023 abs/2302.02403 CoRR https://doi.org/10.48550/arXiv.2302.02403 db/journals/corr/corr2302.html#abs-2302-02403

Max Rosenkranz Karl A. Kalina Jörg Brummund Markus Kästner A comparative study on different neural network architectures to model inelasticity. 2023 abs/2303.03402 CoRR https://doi.org/10.48550/arXiv.2303.03402 db/journals/corr/corr2303.html#abs-2303-03402

Karl A. Kalina Philipp Gebhart Jörg Brummund Lennart Linden WaiChing Sun Markus Kästner Neural network-based multiscale modeling of finite strain magneto-elasticity with relaxed convexity criteria. 2023 abs/2308.16311 CoRR https://doi.org/10.48550/arXiv.2308.16311 db/journals/corr/corr2308.html#abs-2308-16311

Karl A. Kalina Lennart Linden Jörg Brummund Markus Kästner FE<sup>ANN</sup> - An efficient data-driven multiscale approach based on physics-constrained neural networks and automated data mining. 2022 abs/2207.01045 CoRR https://doi.org/10.48550/arXiv.2207.01045 db/journals/corr/corr2207.html#abs-2207-01045

Jörg Brummund Jan Niklas Fuhg Philipp Gebhart Markus Husert Asghar A. Jadoon Reese E. Jones Markus Kästner Dominik K. Klein Lennart Linden Alexander Raßloff Manuel K. Rausch Brain Riemer Max Rosenkranz Heinrich T. Roth Paul Seibert WaiChing Sun Thomas Wallmersperger Oliver Weeger Maximilian P. Wollner