238 citations · 477 across the 6 of their papers we have counts for
4 papers · 1 filter
Parametrised polyconvex hyperelasticity with physics-augmented neural networks
Dominik K. Klein, Fabian J. Roth, Iman Valizadeh +1
In the present work, neural networks are applied to formulate parametrised hyperelastic constitutive models. The models fulfill all common mechanical conditions of hyperelasticity…
Advanced discretization techniques for hyperelastic physics-augmented neural networks
Marlon Franke, Dominik K. Klein, Oliver Weeger +1
In the present work, advanced spatial and temporal discretization techniques are tailored to hyperelastic physics-augmented neural networks, i.e., neural network based constitutive…
Neural networks meet hyperelasticity: A guide to enforcing physics
Lennart Linden, Dominik K. Klein, Karl A. Kalina +3
In the present work, a hyperelastic constitutive model based on neural networks is proposed which fulfills all common constitutive conditions by construction, and in particular, is…
Finite electro-elasticity with physics-augmented neural networks
Dominik K. Klein, Rogelio Ortigosa, Jesús Martínez-Frutos +1
In the present work, a machine learning based constitutive model for electro-mechanically coupled material behavior at finite deformations is proposed. Using different sets of inva…