Sparse-grid discontinuous Galerkin methods for the Vlasov–Poisson–Lenard–Bernstein model
Journal Article
·
· Journal of Computational Physics
- Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
- Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)
- Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States); Univ. of Tennessee, Knoxville, TN (United States)
- Commonwealth Scientific and Industrial Research Organisation (CSIRO), Mayfield West, NSW (Australia)
- Type One Energy Group, Oak Ridge, TN (United States)
Sparse-grid methods have recently gained interest in reducing the computational cost of solving high-dimensional kinetic equations. In this paper, we construct adaptive and hybrid sparse-grid methods for the Vlasov–Poisson–Lenard–Bernstein (VPLB) model. This model has applications to plasma physics and is simulated in two reduced geometries: a 0x3v space homogeneous geometry and a 1x3v slab geometry. Here we use the discontinuous Galerkin (DG) method as a base discretization due to its high-order accuracy and ability to preserve important structural properties of partial differential equations. We utilize a multiwavelet basis expansion to determine the sparse-grid basis and the adaptive mesh criteria. We analyze the proposed sparse-grid methods on a suite of three test problems by computing the savings afforded by sparse-grids in comparison to standard solutions of the DG method. The results are obtained using the adaptive sparse-grid discretization library ASGarD.
- Research Organization:
- Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States); Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
- Sponsoring Organization:
- USDOE Laboratory Directed Research and Development (LDRD) Program; USDOE National Nuclear Security Administration (NNSA); USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR); USDOE Office of Science (SC), Fusion Energy Sciences (FES)
- Grant/Contract Number:
- AC05-00OR22725; AC52-07NA27344
- OSTI ID:
- 2394732
- Alternate ID(s):
- OSTI ID: 2476897
- Report Number(s):
- LLNL--JRNL-860778
- Journal Information:
- Journal of Computational Physics, Journal Name: Journal of Computational Physics Vol. 510; ISSN 0021-9991
- Publisher:
- ElsevierCopyright Statement
- Country of Publication:
- United States
- Language:
- English
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