Computer simulation using particles
Computer simulation using particles
SIAM Journal on Numerical Analysis
Parallel programming with MPI
Journal of Computational Physics
Asymptotic behavior of an initial-boundary value problem for the Vlasov-Poisson-Fokker-Planck system
SIAM Journal on Applied Mathematics
On Deterministic Particle Methods for Solving Vlasov--Poisson--Fokker--Planck Systems
SIAM Journal on Numerical Analysis
Fast spectral methods for the Fokker-Planck-Landau collision operator
Journal of Computational Physics
An Eulerian gyrokinetic-Maxwell solver
Journal of Computational Physics
Journal of Computational Physics
Numerical approximation of collisional plasmas by high order methods
Journal of Computational Physics
Numerical approximation of the Vlasov-Poisson-Fokker-Planck system in one dimension
Journal of Computational Physics
A deterministic particle method for the Vlasov-Fokker-Planck equation in one dimension
Journal of Computational and Applied Mathematics
A deterministic particle method for the Vlasov-Maxwell-Fokker-Planck system in two dimensions
Neural, Parallel & Scientific Computations
Numerical approximation of the Vlasov-Maxwell-Fokker-Planck system in two dimensions
Journal of Computational Physics
Hi-index | 31.45 |
A numerical method is developed for approximating the solution to the Vlasov-Poisson-Fokker-Planck system in two spatial dimensions. The method generalizes the approximation for the system in one dimension given in [S. Wollman, E. Ozizmir, Numerical approximation of the Vlasov-Poisson-Fokker-Planck system in one dimension, J. Comput. Phys. 202 (2005) 602-644]. The numerical procedure is based on a change of variables that puts the convection-diffusion equation into a form so that finite difference methods for parabolic type partial differential equations can be applied. The computational cycle combines a type of deterministic particle method with a periodic interpolation of the solution along particle trajectories onto a fixed grid. computational work is done to demonstrate the accuracy and effectiveness of the approximation method. Parts of the numerical procedure are adapted to run on a parallel computer.