A stochastic kinetic scheme for multi-scale plasma transport with uncertainty quantification
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Publication:2128485
DOI10.1016/j.jcp.2021.110139OpenAlexW4206641851MaRDI QIDQ2128485
Publication date: 22 April 2022
Published in: Journal of Computational Physics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2006.03477
Basic methods in fluid mechanics (76Mxx) Numerical methods for partial differential equations, initial value and time-dependent initial-boundary value problems (65Mxx) Partial differential equations of mathematical physics and other areas of application (35Qxx)
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Cites Work
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- A well-balanced unified gas-kinetic scheme for multiscale flow transport under gravitational field
- A forward semi-Lagrangian method for the numerical solution of the Vlasov equation
- A stochastic approach to uncertainty in the equations of MHD kinematics
- A conservative high order semi-Lagrangian WENO method for the Vlasov equation
- A high resolution wave propagation scheme for ideal two-fluid plasma equations
- Asymptotic-preserving particle-in-cell method for the Vlasov-Poisson system near quasineutrality
- An upwind differencing scheme for the equations of ideal magnetohydrodynamics
- The Boltzmann equation and its applications
- Divergence correction techniques for Maxwell solvers based on a hyperbolic model
- A consistent BGK-type model for gas mixtures
- Uncertainty quantification for kinetic equations
- Asymptotic-preserving methods and multiscale models for plasma physics
- A stochastic Galerkin method for the Fokker-Planck-Landau equation with random uncertainties
- Approximate Riemann solver for the two-fluid plasma model.
- A solution-adaptive upwind scheme for ideal magnetohydrodynamics
- A velocity-space adaptive unified gas kinetic scheme for continuum and rarefied flows
- A unified gas-kinetic scheme for multiscale and multicomponent flow transport
- A fast spectral method for the Boltzmann equation for monatomic gas mixtures
- Stochastic Hall-magneto-hydrodynamics system in three and two and a half dimensions
- A unified gas-kinetic scheme for continuum and rarefied flows
- Fast algorithms for computing the Boltzmann collision operator
- Approximation Results for Orthogonal Polynomials in Sobolev Spaces
- Implementation of Rosenbrock Methods
- Hypocoercivity and Uniform Regularity for the Vlasov--Poisson--Fokker--Planck System with Uncertainty and Multiple Scales
- Hypocoercivity Based Sensitivity Analysis and Spectral Convergence of the Stochastic Galerkin Approximation to Collisional Kinetic Equations with Multiple Scales and Random Inputs
- Nonlinear geometric optics based multiscale stochastic Galerkin methods for highly oscillatory transport equations with random inputs
- RANDOM REGULARITY OF A NONLINEAR LANDAU DAMPING SOLUTION FOR THE VLASOV-POISSON EQUATIONS WITH RANDOM INPUTS
- A Unified Gas Kinetic Scheme for Continuum and Rarefied Flows V: Multiscale and Multi-Component Plasma Transport
- Direct Modeling for Computational Fluid Dynamics
- High-Order Collocation Methods for Differential Equations with Random Inputs
- Conservative numerical schemes for the Vlasov equation