Laurent Navoret
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View article: Neural semi-Lagrangian method for high-dimensional advection-diffusion problems
Neural semi-Lagrangian method for high-dimensional advection-diffusion problems Open
View article: Neural non-canonical Hamiltonian dynamics for long-time simulations
Neural non-canonical Hamiltonian dynamics for long-time simulations Open
This work focuses on learning non-canonical Hamiltonian dynamics from data, where long-term predictions require the preservation of structure both in the learned model and in numerical schemes. Previous research focused on either facet, re…
View article: Reduced Particle in Cell method for the Vlasov-Poisson system using auto-encoder and Hamiltonian neural
Reduced Particle in Cell method for the Vlasov-Poisson system using auto-encoder and Hamiltonian neural Open
Hamiltonian particle-based simulations of plasma dynamics are inherently computationally intensive, primarily due to the large number of particles required to obtain accurate solutions. This challenge becomes even more acute in many-query …
View article: Fourth-Order Entropy-Stable Lattice Boltzmann Schemes for Hyperbolic Systems
Fourth-Order Entropy-Stable Lattice Boltzmann Schemes for Hyperbolic Systems Open
We present a novel framework for the development of fourth-order lattice Boltzmann schemes to tackle multidimensional nonlinear systems of conservation laws. As for other numerical schemes for hyperbolic problems, high-order accuracy appli…
View article: Neural Semi-Lagrangian Method for High-Dimensional Advection-Diffusion Problems
Neural Semi-Lagrangian Method for High-Dimensional Advection-Diffusion Problems Open
View article: An Optimal Control Deep Learning Method to Design Artificial Viscosities for Discontinuous Galerkin Schemes
An Optimal Control Deep Learning Method to Design Artificial Viscosities for Discontinuous Galerkin Schemes Open
View article: Approximately well-balanced Discontinuous Galerkin methods using bases enriched with Physics-Informed Neural Networks
Approximately well-balanced Discontinuous Galerkin methods using bases enriched with Physics-Informed Neural Networks Open
View article: Hard congestion limit of the dissipative Aw–Rascle system
Hard congestion limit of the dissipative Aw–Rascle system Open
In this study, we analyse the famous Aw–Rascle system in which the difference between the actual and the desired velocities (the offset function) is a gradient of a singular function of the density. This leads to a dissipation in the momen…
View article: Spontaneous rotations in epithelia as an interplay between cell polarity and boundaries
Spontaneous rotations in epithelia as an interplay between cell polarity and boundaries Open
View article: Hyperbolic reduced model for Vlasov-Poisson equation with Fokker-Planck collision
Hyperbolic reduced model for Vlasov-Poisson equation with Fokker-Planck collision Open
This paper proposes a reduced model to simulate the one-dimensional Vlasov-Poisson equation with the non-linear Fokker-Planck operator. The model provides the space-time dynamics of a few macroscopic quantities constructed following the Re…
View article: Editorial of CEMRACS 2022
Editorial of CEMRACS 2022 Open
View article: Hamiltonian reduction using a convolutional auto-encoder coupled to an Hamiltonian neural network
Hamiltonian reduction using a convolutional auto-encoder coupled to an Hamiltonian neural network Open
The reduction of Hamiltonian systems aims to build smaller reduced models, valid over a certain range of time and parameters, in order to reduce computing time. By maintaining the Hamiltonian structure in the reduced model, certain long-te…
View article: Optimal scenario for road evacuation in an urban environment
Optimal scenario for road evacuation in an urban environment Open
How to free a road from vehicle traffic as efficiently as possible and in a given time, in order to allow for example the passage of emergency vehicles? We are interested in this question which we reformulate as an optimal control problem.…
View article: Approximately well-balanced Discontinuous Galerkin methods using bases enriched with Physics-Informed Neural Networks
Approximately well-balanced Discontinuous Galerkin methods using bases enriched with Physics-Informed Neural Networks Open
This work concerns the enrichment of Discontinuous Galerkin (DG) bases, so that the resulting scheme provides a much better approximation of steady solutions to hyperbolic systems of balance laws. The basis enrichment leverages a prior - a…
View article: An optimal control deep learning method to design artificial viscosities for Discontinuous Galerkin schemes
An optimal control deep learning method to design artificial viscosities for Discontinuous Galerkin schemes Open
In this paper, we propose a method for constructing a neural network viscosity in order to reduce the non-physical oscillations generated by high-order Discontiuous Galerkin (DG) methods. To this end, the problem is reformulated as an opti…
View article: Composition Schemes for the Guiding-Center Model
Composition Schemes for the Guiding-Center Model Open
View article: Finite Volumes for Complex Applications X—Volume 1, Elliptic and Parabolic Problems
Finite Volumes for Complex Applications X—Volume 1, Elliptic and Parabolic Problems Open
View article: Finite Volumes for Complex Applications X—Volume 2, Hyperbolic and Related Problems
Finite Volumes for Complex Applications X—Volume 2, Hyperbolic and Related Problems Open
View article: Parallel kinetic scheme for transport equations in complex toroidal geometry
Parallel kinetic scheme for transport equations in complex toroidal geometry Open
We present an efficient solver for the conservative transport equation with variable coefficients in complex toroidal geometries. The solver is based on a kinetic formulation resembling the Lattice-Boltzmann approach. The chosen formalism …
View article: Reduced modelling and optimal control of epidemiological individual-based models with contact heterogeneity
Reduced modelling and optimal control of epidemiological individual-based models with contact heterogeneity Open
Modelling epidemics via classical population-based models suffers from shortcomings that so-called individual-based models are able to overcome, as they are able to take heterogeneity features into account, such as super-spreaders, and des…
View article: A neural network closure for the Euler-Poisson system based on kinetic simulations
A neural network closure for the Euler-Poisson system based on kinetic simulations Open
This work deals with the modeling of plasmas, which are ionized gases. Thanks to machine learning, we construct a closure for the one-dimensional Euler-Poisson system valid for a wide range of collisional regimes. This closure, based on a …
View article: Spontaneous rotations in epithelia as an interplay between cell polarity and boundaries
Spontaneous rotations in epithelia as an interplay between cell polarity and boundaries Open
Directed flows of cells in vivo are essential in morphogenesis. They shape living matter in phenomena involving cell mechanics and regulations of the acto-myosin cytoskeleton. However the onset of coherent motion is still poorly understood…
View article: A neural network closure for the Euler-Poisson system based on kinetic simulations
A neural network closure for the Euler-Poisson system based on kinetic simulations Open
This work deals with the modeling of plasmas, which are charged-particle fluids. Thanks to machine leaning, we construct a closure for the one-dimensional Euler-Poisson system valid for a wide range of collision regimes. This closure, base…
View article: Recurrence Phenomenon for Vlasov-Poisson Simulations on Regular Finite Element Mesh
Recurrence Phenomenon for Vlasov-Poisson Simulations on Regular Finite Element Mesh Open
International audience
View article: Collective Dynamics of Focal Adhesions Regulate Direction of Cell Motion
Collective Dynamics of Focal Adhesions Regulate Direction of Cell Motion Open
View article: A Low Cost Semi-implicit Low-Mach Relaxation Scheme for the Full Euler Equations
A Low Cost Semi-implicit Low-Mach Relaxation Scheme for the Full Euler Equations Open
View article: Kinetic Over-Relaxation Method for the Convection Equation with Fourier Solver
Kinetic Over-Relaxation Method for the Convection Equation with Fourier Solver Open
View article: Semi-implicit Two-Speed Well-Balanced Relaxation Scheme for Ripa Model
Semi-implicit Two-Speed Well-Balanced Relaxation Scheme for Ripa Model Open
View article: Cell migration in complex environments: chemotaxis and topographical obstacles
Cell migration in complex environments: chemotaxis and topographical obstacles Open
Cell migration is a complex phenomenon that plays an important role in many biological processes. Our aim here is to build and study models of reduced complexity to describe some aspects of cell motility in tissues. Precisely, we study the…
View article: Parallel lattice-boltzmann transport solver in complex geometry
Parallel lattice-boltzmann transport solver in complex geometry Open
We present an efficient solver for the conservative transport equation with variable coefficients in complex geometries. The solver is based on a kinetic formulation resembling the Lattice-Boltzmann approach. The chosen formalism allows to…