Karl A. Kalina

12 papers Journal 12

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A data-driven multiscale scheme for anisotropic finite strain magneto-elasticity. CoRR Heinrich T. Roth, Philipp Gebhart, Karl A. Kalina, Thomas Wallmersperger, Markus Kästner
2025	J	`jnl`	A dual-stage constitutive modeling framework based on finite strain data-driven identification and physics-augmented neural networks. CoRR Lennart Linden, Karl A. Kalina, Jörg Brummund, Brain Riemer, Markus Kästner
2025	J	`jnl`	A physics-augmented neural network framework for finite strain incompressible viscoelasticity. CoRR Karl A. Kalina, Jörg Brummund, Markus Kästner
2025	J	`jnl`	Fast descriptor-based 2D and 3D microstructure reconstruction using the Portilla-Simoncelli algorithm. Eng. Comput. Paul Seibert, Alexander Raßloff, Karl A. Kalina, Markus Kästner
2024	J	`jnl`	Fast Reconstruction of Microstructures with Ellipsoidal Inclusions Using Analytical Descriptors. Comput. Aided Des. Paul Seibert, Markus Husert, Maximilian P. Wollner, Karl A. Kalina, Markus Kästner
2024	J	`jnl`	Inverse design of anisotropic microstructures using physics-augmented neural networks. CoRR Asghar A. Jadoon, Karl A. Kalina, Manuel K. Rausch, Reese E. Jones, Jan Niklas Fuhg
2024	J	`jnl`	Neural networks meet anisotropic hyperelasticity: A framework based on generalized structure tensors and isotropic tensor functions. CoRR Karl A. Kalina, Jörg Brummund, WaiChing Sun, Markus Kästner
2024	J	`jnl`	Viscoelasticty with physics-augmented neural networks: Model formulation and training methods without prescribed internal variables. CoRR Max Rosenkranz, Karl A. Kalina, Jörg Brummund, WaiChing Sun, Markus Kästner
2023	J	`jnl`	A comparative study on different neural network architectures to model inelasticity. CoRR Max Rosenkranz, Karl A. Kalina, Jörg Brummund, Markus Kästner
2023	J	`jnl`	Neural network-based multiscale modeling of finite strain magneto-elasticity with relaxed convexity criteria. CoRR Karl A. Kalina, Philipp Gebhart, Jörg Brummund, Lennart Linden, WaiChing Sun, Markus Kästner
2023	J	`jnl`	Neural networks meet hyperelasticity: A guide to enforcing physics. CoRR Lennart Linden, Dominik K. Klein, Karl A. Kalina, Jörg Brummund, Oliver Weeger, Markus Kästner
2022	J	`jnl`	FE CoRR Karl A. Kalina, Lennart Linden, Jörg Brummund, Markus Kästner