Dynamic Mode Decomposition Reduced-Order Models for Multiscale Kinetic Plasma Analysis

I. Nayak, F. Teixeira
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引用次数: 1

Abstract

We demonstrate the efficacy of dynamic mode decomposition (DMD) based reduced-order model (ROM) in characterizing the transient behavior of full-order kinetic plasma simulation. The full-order kinetic plasma model makes use of the finite-element time-domain (FETD) based electromagnetic particle-in-cell (EM-PIC) algorithm. We apply the suggested reduced-order method for the case of an expanding plasma ball and study the effect of DMD reconstructed self fields on the particle dynamics in transient region. Such analysis is highly desirable for understanding underlying physics of complex plasmas as well as for reducing computation cost of high-fidelity plasma simulations.
多尺度动力学等离子体分析的动态模式分解降阶模型
我们证明了基于动态模式分解(DMD)的降阶模型(ROM)在描述全阶动力学等离子体模拟的瞬态行为方面的有效性。全阶动力学等离子体模型采用了基于有限元时域(FETD)的电磁粒子池(EM-PIC)算法。我们将所建议的降阶方法应用于膨胀等离子体球的情况,研究了DMD重构自场对瞬态区域粒子动力学的影响。这种分析对于理解复杂等离子体的基础物理以及降低高保真等离子体模拟的计算成本是非常可取的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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