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首页> 外文期刊>Journal of Applied Physics >Application of sparse grid combination techniques to low temperature plasmas particle-in-cell simulations.Ⅰ. Capacitively coupled radio frequency discharges
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Application of sparse grid combination techniques to low temperature plasmas particle-in-cell simulations.Ⅰ. Capacitively coupled radio frequency discharges

机译:稀疏电网组合技术在低温等离子体粒细胞模拟中的应用。 电容耦合射频放电

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摘要

The use of a particle-in-cell (PIC) algorithm with an explicit scheme to model low temperature plasmas is challenging due to computational time constrains related to resolving both the electron Debye length in space and the inverse of a fraction of the plasma frequency in time. One recent publication [Ricketson and Cerfon, Plasma Phys. Control. Fusion 59, 024002 (2017)] has demonstrated the interest of using a sparse grid combination technique to accelerate the explicit PIC model. Simplest plasma conditions were considered. This paper is the demonstration of the capability and the effectiveness of the sparse grid combination technique embedded in the PIC algorithm (hereafter called "sparse PIC") to self-consistently model capacitively coupled radio frequency discharges. For two-dimensional calculations, the sparse PIC approach is shown to accurately reproduce the plasma profiles and the energy distribution functions compared to the standard PIC model. The plasma parameters obtained by these two numerical methods differ by less than 5%, while a speed up in the executable time between 2 and 5 is obtained depending on the setup.
机译:使用具有显式方案的粒子内(PIC)算法以模型低温等离子体是挑战,因为与计算空间中的电子德语长度和等离子体频率的一部分的倒数相关的计算时间约束是具有挑战性的时间。最近的出版物[Ricketson和Cerfon,等离子物理。控制。 Fusion 59,024002(2017)]已展示使用稀疏网格组合技术的兴趣加速显式图片模型。考虑最简单的血浆条件。本文是嵌入在PIC算法中嵌入的稀疏网格组合技术的能力和有效性的演示(以下称为“稀疏PIC”)到电容耦合射频放电的自始。对于二维计算,示出了与标准PIC模型相比精确地再现等离子体轮廓和能量分配功能的稀疏图片。通过这两个数值方法获得的等离子体参数差异小于5%,而根据设置,获得在2和5之间的可执行时间之间的速度。

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  • 来源
    《Journal of Applied Physics》 |2021年第15期|153303.1-153303.13|共13页
  • 作者单位

    LAPLACE Universite de Toulouse CNRS 31062 Toulouse France;

    LAPLACE Universite de Toulouse CNRS 31062 Toulouse France;

    LAPLACE Universite de Toulouse CNRS 31062 Toulouse France;

    LAPLACE Universite de Toulouse CNRS 31062 Toulouse France Universite de Toulouse UPS INSA UTI UTM Institut de Mathematiques de Toulouse CNRS Institut de Mathematiques de Toulouse UMR 5219 31062 Toulouse France;

    Universite de Toulouse UPS INSA UTI UTM Institut de Mathematiques de Toulouse CNRS Institut de Mathematiques de Toulouse UMR 5219 31062 Toulouse France;

    Universite de Toulouse UPS INSA UTI UTM Institut de Mathematiques de Toulouse CNRS Institut de Mathematiques de Toulouse UMR 5219 31062 Toulouse France;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《生物学医学文摘》(MEDLINE);
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  • 正文语种 eng
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