刘健

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副教授

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学历:博士研究生毕业

办公地点:西区科技实验东楼1402

学位:博士

毕业院校:北京大学

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Study of adaptive symplectic methods for simulating charged particle dynamics

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DOI码:10.3934/jcd.2019022

发表刊物:Journal of Computational Dynamics

关键字:Adaptive symplectic method, charged particle dynamics

摘要: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.

合写作者:Yanyan Shi,Yajuan Sun,Yulei Wang,Jian Liu

论文类型:期刊论文

学科门类:理学

卷号:6

期号:2

页面范围:429-448

是否译文:

发表时间:2019-12-09

收录刊物:SCI

发布期刊链接:http://www.aimsciences.org/article/id/918badd1-26b0-4707-ad0c-63d601d99587