JefiPIC: A 3-D Full Electromagnetic Particle-in-Cell Simulator Based on Jefimenko’s Equations on GPU

IF 2.6 3区 物理与天体物理 Q1 PHYSICS, MATHEMATICAL Communications in Computational Physics Pub Date : 2024-06-01 DOI:10.4208/cicp.oa-2023-0156
Jian-Nan Chen,Jun-Jie Zhang,Hai-Liang Qiao,Xue-Ming Li, Yong-Tao Zhao
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Abstract

This paper presents a novel 3-D full electromagnetic particle-in-cell (PIC) code called JefiPIC, which uses Jefimenko’s equations as the electromagnetic (EM) field solver through a full-space integration method. Leveraging the power of state-of-the-art graphic processing units (GPUs), we have made the challenging integral task of PIC simulations achievable. Our proposed code offers several advantages by utilizing the integral method. Firstly, it offers a natural solution for modeling non-neutral plasmas without the need for pre-processing such as solving Poisson’s equation. Secondly, it eliminates the requirement for designing elaborate boundary layers to absorb fields and particles. Thirdly, it maintains the stability of the plasma simulation regardless of the time step chosen. Lastly, it does not require strict charge-conservation particle-to-grid apportionment techniques or electric field divergence amendment algorithms, which are commonly used in finite-difference time-domain (FDTD)-based PIC simulations. To validate the accuracy and advantages of our code, we compared the evolutions of particles and fields in different plasma systems simulated by three other codes. Our results demonstrate that the combination of Jefimenko’s equations and the PIC method can produce accurate particle distributions and EM fields in open-boundary plasma systems. Additionally, our code is able to accomplish these computations within an acceptable execution time. This study highlights the effectiveness and efficiency of JefiPIC, showing its potential for advancing plasma simulations.
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JefiPIC:基于杰菲门科方程的 GPU 3-D 全电磁粒子池模拟器
本文介绍了一种名为 JefiPIC 的新型三维全电磁粒子入胞(PIC)代码,该代码通过全空间积分方法使用 Jefimenko 方程作为电磁(EM)场求解器。利用最先进的图形处理器(GPU),我们实现了具有挑战性的 PIC 仿真积分任务。通过利用积分法,我们提出的代码具有多项优势。首先,它为非中性等离子体建模提供了一种自然的解决方案,无需进行诸如求解泊松方程等预处理。其次,它无需为吸积场和粒子设计复杂的边界层。第三,无论选择何种时间步长,它都能保持等离子体模拟的稳定性。最后,它不需要基于有限差分时域(FDTD)的 PIC 仿真中常用的严格的电荷保留粒子到网格分摊技术或电场发散修正算法。为了验证我们代码的准确性和优势,我们比较了其他三种代码模拟的不同等离子体系统中粒子和场的演变。结果表明,结合杰菲门科方程和 PIC 方法可以在开放边界等离子体系统中产生精确的粒子分布和电磁场。此外,我们的代码能够在可接受的执行时间内完成这些计算。这项研究突出了 JefiPIC 的有效性和效率,显示了它在推进等离子体模拟方面的潜力。
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来源期刊
Communications in Computational Physics
Communications in Computational Physics 物理-物理:数学物理
CiteScore
4.70
自引率
5.40%
发文量
84
审稿时长
9 months
期刊介绍: Communications in Computational Physics (CiCP) publishes original research and survey papers of high scientific value in computational modeling of physical problems. Results in multi-physics and multi-scale innovative computational methods and modeling in all physical sciences will be featured.
期刊最新文献
A Model-Data Asymptotic-Preserving Neural Network Method Based on Micro-Macro Decomposition for Gray Radiative Transfer Equations A Causality-DeepONet for Causal Responses of Linear Dynamical Systems JefiPIC: A 3-D Full Electromagnetic Particle-in-Cell Simulator Based on Jefimenko’s Equations on GPU A Comparative Study of Hydrodynamic Lattice Boltzmann Equation in Phase-Field-Based Multiphase Flow Models Finite-Volume TENO Scheme with a New Cell-Interface Flux Evaluation Strategy for Unstructured Meshes
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