Jian Liu

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Study of adaptive symplectic methods for simulating charged particle dynamics
Release time:2022-03-17  Hits:

DOI number: 10.3934/jcd.2019022

Journal: Journal of Computational Dynamics

Key Words: Adaptive symplectic method, charged particle dynamics

Abstract: In plasma simulations, numerical methods with high computational efficiency and long-term stability are needed. In this paper, symplectic methods with adaptive time steps are constructed for simulating the dynamics of charged particles under the electromagnetic field. With specifically designed step size functions, the motion of charged particles confined in a Penning trap under three different magnetic fields is studied, and also the dynamics of runaway electrons in tokamaks is investigated. The numerical experiments are performed to show the efficiency of the new derived adaptive symplectic methods.

Co-author: Yanyan Shi,Yajuan Sun,Yulei Wang,Jian Liu

Indexed by: Journal paper

Discipline: Natural Science

Volume: 6

Issue: 2

Page Number: 429-448

Translation or Not: no

Date of Publication: 2019-12-09

Included Journals: SCI

Links to published journals: http://www.aimsciences.org/article/id/918badd1-26b0-4707-ad0c-63d601d99587