Jörg Brummund

According to our database, Jörg Brummund authored at least 8 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of six.
• Erdős number of four.

2025

A physics-augmented neural network framework for finite strain incompressible viscoelasticity.

Karl A. Kalina, Jörg Brummund, Markus Kästner

CoRR, November, 2025

A dual-stage constitutive modeling framework based on finite strain data-driven identification and physics-augmented neural networks.

Lennart Linden, Karl A. Kalina, Jörg Brummund, Brain Riemer, Markus Kästner

CoRR, April, 2025

2024

Neural networks meet anisotropic hyperelasticity: A framework based on generalized structure tensors and isotropic tensor functions.

Karl A. Kalina, Jörg Brummund, WaiChing Sun, Markus Kästner

CoRR, 2024

Viscoelasticty with physics-augmented neural networks: Model formulation and training methods without prescribed internal variables.

Max Rosenkranz, Karl A. Kalina, Jörg Brummund, WaiChing Sun, Markus Kästner

CoRR, 2024

2023

Neural network-based multiscale modeling of finite strain magneto-elasticity with relaxed convexity criteria.

Karl A. Kalina, Philipp Gebhart, Jörg Brummund, Lennart Linden, WaiChing Sun, Markus Kästner

CoRR, 2023

A comparative study on different neural network architectures to model inelasticity.

Max Rosenkranz, Karl A. Kalina, Jörg Brummund, Markus Kästner

CoRR, 2023

Neural networks meet hyperelasticity: A guide to enforcing physics.

Lennart Linden, Dominik K. Klein, Karl A. Kalina, Jörg Brummund, Oliver Weeger, Markus Kästner

CoRR, 2023

2022

FE^ANN - An efficient data-driven multiscale approach based on physics-constrained neural networks and automated data mining.

Karl A. Kalina, Lennart Linden, Jörg Brummund, Markus Kästner

CoRR, 2022