An implicit particle code with exact energy and charge conservation for electromagnetic studies of dense plasmas

A collisional particle code based on implicit energy- and charge-conserving methods is presented. A modified version of the particle-suppressed Jacobian-Free Newton-Krylov method that can enhance the solver efficiency is introduced. Mathematically, it is shown that this new approach can be viewed as...

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Bibliographic Details
Published in:Journal of computational physics 2023-10, Vol.491, p.112383, Article 112383
Main Authors: Angus, Justin Ray, Farmer, William, Friedman, Alex, Ghosh, Debojyoti, Grote, Dave, Larson, David, Link, Anthony
Format: Article
Language:English
Subjects:
High-energy-density plasmas
Implicit
MATHEMATICS AND COMPUTING
Monte-Carlo
Particle-in-cell
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Summary:A collisional particle code based on implicit energy- and charge-conserving methods is presented. A modified version of the particle-suppressed Jacobian-Free Newton-Krylov method that can enhance the solver efficiency is introduced. Mathematically, it is shown that this new approach can be viewed as a fixed-point iteration method for the particle positions. The model can exactly conserve global energy and local charge and can efficiently use time steps larger than the plasma period. The algorithm's ability to simulate dense plasmas accurately and efficiently is quantified by simulating the dynamic compression of a plasma slab via a magnetic piston in 1D planar geometry. •Particle-in-cell.•Monte-Carlo collisions.•Implicit.•Computational plasma physics.•High energy density plasmas.•Dynamic compression.•Boltzmann equation.
ISSN:0021-9991
1090-2716
DOI:10.1016/j.jcp.2023.112383