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Nicolas Crouseilles

Researcher at University of Rennes

Publications -  106
Citations -  2191

Nicolas Crouseilles is an academic researcher from University of Rennes. The author has contributed to research in topics: Vlasov equation & Discretization. The author has an hindex of 20, co-authored 101 publications receiving 1838 citations. Previous affiliations of Nicolas Crouseilles include University of Strasbourg & French Institute for Research in Computer Science and Automation.

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Quantum hydrodynamic model for the nonlinear electron dynamics in thin metal films

TL;DR: In this article, a quantum hydrodynamic (fluid) model derived from the Wigner-Poisson equations is used to investigate the ultrafast electron dynamics in thin metal films.
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Conservative semi-Lagrangian schemes for Vlasov equations

TL;DR: Conservative methods for the numerical solution of the Vlasov equation are developed in the context of the one-dimensional splitting and present an alternative to the traditional semi-Lagrangian schemes which can suffer from bad mass conservation, in this time splitting setting.
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A 5D gyrokinetic full- f global semi-Lagrangian code for flux-driven ion turbulence simulations

TL;DR: This paper addresses non-linear gyrokinetic simulations of ion temperature gradient (ITG) turbulence in tokamak plasmas by presenting a complete description of the electrostatic Gysela code's multi-ion species version including a numerical scheme, high level of parallelism up to 500k cores and conservation law properties.
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A forward semi-Lagrangian method for the numerical solution of the Vlasov equation

TL;DR: This work deals with the numerical solution of the Vlasov equation, which provides a kinetic description of the evolution of a plasma, and is coupled with Poisson's equation, and a new forward semi-Lagrangian method is developed.
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Hamiltonian splitting for the Vlasov-Maxwell equations

TL;DR: This splitting is based on a decomposition of the Hamiltonian of the Vlasov-Maxwell system and allows for the construction of arbitrary high order methods by composition and satisfies Poisson's equation without explicitly solving it.