2018
DOI: 10.1016/j.camwa.2017.08.001
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An improved immersed finite element particle-in-cell method for plasma simulation

Abstract: The particle-in-cell (PIC) method has been widely used for plasma simulation, because of its noise-reduction capability and moderate computational cost. The immersed finite element (IFE) method is efficient for solving interface problems on Cartesian meshes, which is desirable for PIC method. The combination of these two methods provides an effective tool for plasma simulation with complex interface/boundary. This paper introduces an improved IFE-PIC method that enhances the performance in both IFE and PIC asp… Show more

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Cited by 15 publications
(6 citation statements)
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“…The other two methods are the DIM particle pusher and the DEX particle pusher, where different timesteps are used. The following relationship is introduced to analyze the accuracy of the particle pusher with respect to the time-step: [31] Err…”
Section: Particle Pusher Testmentioning
confidence: 99%
“…The other two methods are the DIM particle pusher and the DEX particle pusher, where different timesteps are used. The following relationship is introduced to analyze the accuracy of the particle pusher with respect to the time-step: [31] Err…”
Section: Particle Pusher Testmentioning
confidence: 99%
“…The social network analysis (SNA) provides a quantitative method of describing complexly intertwining relationships among multiple stakeholders and hence enables improvements in management efficiency [65]. The combination of SNA and stakeholders produces systematic insights to align decision making to cope with risks [62,66]. For instance, Hamilton et al [67] analyzed the degree of fit between landowners and land-use organizations to promote the social-ecological network balance.…”
Section: The Framework Of This Studymentioning
confidence: 99%
“…In this paper, a 2D implicit immersed-finite-element particle-in-cell (IFE-PIC) model [16] is introduced to study a single set of RF grid systems. It has huge advantages in computing the plasma problems that have complex interfaces and need to be divided into regular grids [17][18][19][20][21][22][23][24][25]. This model can significantly reduce the computing cost [16,[26][27][28][29].…”
Section: Introductionmentioning
confidence: 99%