Emmanuel Franck
According to our database1,
Emmanuel Franck
authored at least 14 papers
between 2012 and 2025.
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Bibliography
2025
Volume-preserving geometric shape optimization of the Dirichlet energy using variational neural networks.
Neural Networks, 2025
Accelerating the convergence of Newton's method for nonlinear elliptic PDEs using Fourier neural operators.
Commun. Nonlinear Sci. Numer. Simul., 2025
2024
An Optimal Control Deep Learning Method to Design Artificial Viscosities for Discontinuous Galerkin Schemes.
J. Sci. Comput., December, 2024
Approximately well-balanced Discontinuous Galerkin methods using bases enriched with Physics-Informed Neural Networks.
J. Comput. Phys., 2024
Volume-preserving physics-informed geometric shape optimization of the Dirichlet energy.
CoRR, 2024
2023
Hamiltonian reduction using a convolutional auto-encoder coupled to an Hamiltonian neural network.
CoRR, 2023
A robust and efficient solver based on kinetic schemes for Magnetohydrodynamics (MHD) equations.
Appl. Math. Comput., 2023
2020
J. Sci. Comput., 2020
CoRR, 2020
2017
Proof of uniform convergence for a cell-centered AP discretization of the hyperbolic heat equation on general meshes.
Math. Comput., 2017
2016
Finite Volume Scheme with Local High Order Discretization of the Hydrostatic Equilibrium for the Euler Equations with External Forces.
J. Sci. Comput., 2016
2015
Asymptotic Preserving Schemes on Distorted Meshes for Friedrichs Systems with Stiff Relaxation: Application to Angular Models in Linear Transport.
J. Sci. Comput., 2015
2012
Design of asymptotic preserving finite volume schemes for the hyperbolic heat equation on unstructured meshes.
Numerische Mathematik, 2012