8 citations · 8 across the 5 of their papers we have counts for
5 papers
A Hyper-Reduced Neural Network-Augmented Semi-smooth Newton Method for Nonlinear Parametric Variational Inequalities
Sofiane Ezzehi, Virginie Ehrlacher, Guillaume Enchéry +1
We propose a model order reduction framework for nonlinear parametrized variational inequalities arising in computational mechanics. The high-dimensional model is written in mixed…
Reduced Basis method for finite volume simulations of parabolic PDEs applied to porous media flows
Jana Tarhini, Sébastien Boyaval, Guillaume Enchéry +1
Numerical simulations are a highly valuable tool to evaluate the impact of the uncertainties of various modelparameters, and to optimize e.g. injection-production scenarios in the…
A bubble VEM-fully discrete polytopal scheme for mixed-dimensional poromechanics with frictional contact at matrix fracture interfaces
Jérôme Droniou, Guillaume Enchéry, Isabelle Faille +2
The objective of this article is to address the discretisation of fractured/faulted poromechanical models using 3D polyhedral meshes in order to cope with the geometrical complexit…
Waserstein model reduction approach for parametrized flow problems in porous media
Beatrice Battisti, Tobias Blickhan, Guillaume Enchéry +3
The aim of this work is to build a reduced-order model for parametrized porous media equations. The main challenge of this type of problems is that the Kolmogorov width of the solu…
Upstream mobility Finite Volumes for the Richards equation in heterogenous domains
Sabrina Bassetto, Clément Cancès, Guillaume Enchéry +1
This paper is concerned with the Richards equation in a heterogeneous domain, each subdomain of which is homogeneous and represents a rocktype. Our first contribution is to rigorou…