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20182026
most citedNeural networks meet hyperelasticity: A guide to enforcing physics

172 citations · 525 across the 23 of their papers we have counts for

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Showing 2023Show all

6 papers · 1 filter

cond-mat.mtrl-sci2023★ 4 cited

Reconstructing microstructures from statistical descriptors using neural cellular automata

Paul Seibert, Alexander Raßloff, Yichi Zhang +4

The problem of generating microstructures of complex materials in silico has been approached from various directions including simulation, Markov, deep learning and descriptor-base…

cs.CE2023★ 3 cited

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

Karl A. Kalina, Philipp Gebhart, Jörg Brummund +3

We present a framework for the multiscale modeling of finite strain magneto-elasticity based on physics-augmented neural networks (NNs). By using a set of problem specific invarian…

cond-mat.mtrl-sci2023★ 2 cited

Fast reconstruction of microstructures with ellipsoidal inclusions using analytical descriptors

Paul Seibert, Markus Husert, Maximilian P. Wollner +2

Microstructure reconstruction is an important and emerging aspect of computational materials engineering and multiscale modeling and simulation. Despite extensive research and fast…

cs.CE2023★ 74 cited

A comparative study on different neural network architectures to model inelasticity

Max Rosenkranz, Karl A. Kalina, Jörg Brummund +1

The mathematical formulation of constitutive models to describe the path-dependent, i.e., inelastic, behavior of materials is a challenging task and has been a focus in mechanics r…

cs.CE2023★ 172 cited

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…

cond-mat.mtrl-sci2023★ 36 cited

Two-stage 2D-to-3D reconstruction of realistic microstructures: Implementation and numerical validation by effective properties

Paul Seibert, Alexander Raßloff, Karl Kalina +4

Realistic microscale domains are an essential step towards making modern multiscale simulations more applicable to computational materials engineering. For this purpose, 3D compute…