output
20092025
most citedThermodynamics-based Artificial Neural Networks for constitutive modeling

421 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions
Showing 2021Show all

7 papers · 1 filter

cs.CE2021★ 17 cited

Lipschitz regularization for fracture: the Lip-field approach

N. Chevaugeon, N. Moes

The Lip-field approach is a new regularization method for softening material material models. It was presented first in a previous paper providing one-dimensional simulations for d…

physics.class-ph2021★ 1 cited

Analysis and visualization of traceless symmetric tensors. Application to the Hencky strain tensor for large strain tension-torsion

Etienne Le Mire, Erwan Verron, Bertrand Huneau +1

Cyclic multiaxial loadings of soft materials are usually studied throughout experiments involving machines that prescribe a combination of uniaxial tension and torsion. Due to the…

cs.CE2021★ 13 cited

The eXtreme Mesh deformation approach (X-MESH) for the Stefan phase-change model

Nicolas Moes, Jean-Francois Remacle, Jonathan Lambrechts +2

The eXtreme Mesh deformation approach (X-MESH) is a new paradigm to follow sharp interfaces without remeshing and without changing the mesh topology. Even though the mesh does not…

math.NA2021★ 124 cited

Residual-based adaptivity for two-phase flow simulation in porous media using Physics-informed Neural Networks

John M. Hanna, Jose V. Aguado, Sebastien Comas-Cardona +2

This paper aims to provide a machine learning framework to simulate two-phase flow in porous media. The proposed algorithm is based on Physics-informed neural networks (PINN). A no…

cond-mat.mtrl-sci2021★ 177 cited

Multiscale modeling of inelastic materials with Thermodynamics-based Artificial Neural Networks (TANN)

Filippo Masi, Ioannis Stefanou

The mechanical behavior of inelastic materials with microstructure is very complex and hard to grasp with heuristic, empirical constitutive models. For this purpose, multiscale, ho…

cs.CE2021★ 19 cited

Lipschitz regularization for softening material models: the Lip-field approach

Nicolas Moes, Nicolas Chevaugeon

Softening material models are known to trigger spurious localizations.This may be shown theoretically by the existence of solutions with zero dissipation when localization occurs a…

physics.app-ph2021★ 1 cited

The role of viscous regularization in dynamical problems, strain localization and mesh dependency

Alexandros Stathas, Ioannis Stefanou

Strain localization is responsible for mesh dependence in numerical analyses concerning a vast variety of fields such as solid mechanics, dynamics, biomechanics and geomechanics. T…