Polyconvex anisotropic hyperelasticity with neural networks. - Dominik K. Klein; Mauricio Fernández; Robert J. Martin; Patrizio Neff; Oliver Weeger (CoRR, 2021)

Finite electro-elasticity with physics-augmented neural networks. - Dominik K. Klein; Rogelio Ortigosa; Jesús Martínez-Frutos; Oliver Weeger (CoRR, 2022)

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)

Advanced discretization techniques for hyperelastic physics-augmented neural networks. - Marlon Franke; Dominik K. Klein; Oliver Weeger; Peter Betsch (CoRR, 2023)

Parametrised polyconvex hyperelasticity with physics-augmented neural networks. - Dominik K. Klein; Fabian J. Roth; Iman Valizadeh; Oliver Weeger (CoRR, 2023)

Nonlinear electro-elastic finite element analysis with neural network constitutive models. - Dominik K. Klein; Rogelio Ortigosa; Jesús Martínez-Frutos; Oliver Weeger (CoRR, 2024)

Physics-augmented neural networks for constitutive modeling of hyperelastic geometrically exact beams. - Jasper O. Schommartz; Dominik K. Klein; Juan C. Alzate Cobo; Oliver Weeger (CoRR, 2024)

Multiscale modeling of functionally graded shell lattice metamaterials for additive manufacturing. - Mohammad Shojaee; Iman Valizadeh; Dominik K. Klein; P. Sharifi; Oliver Weeger (Eng. Comput., 2024)

Neural networks meet hyperelasticity: A monotonic approach. - Dominik K. Klein; Mokarram Hossain; Konstantin Kikinov; Maximilian Kannapinn; Stephan Rudykh; Antonio J. Gil (CoRR, 2025)

Stable Port-Hamiltonian Neural Networks. - Fabian J. Roth; Dominik K. Klein; Maximilian Kannapinn; Jan Peters 001; Oliver Weeger (CoRR, 2025)