238 citations · 299 across the 2 of their papers we have counts for
2 papers
cond-mat.mtrl-sci2021★ 238 cited
Polyconvex anisotropic hyperelasticity with neural networks
Dominik K. Klein, Mauricio Fernández, Robert J. Martin +2
In the present work, two machine learning based constitutive models for finite deformations are proposed. Using input convex neural networks, the models are hyperelastic, anisotrop…
physics.comp-ph2019★ 61 cited
On-the-fly adaptivity for nonlinear twoscale simulations using artificial neural networks and reduced order modeling
Felix Fritzen, Mauricio Fernández, Fredrik Larsson
A multi-fidelity surrogate model for highly nonlinear multiscale problems is proposed. It is based on the introduction of two different surrogate models and an adaptive on-the-fly…