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arXiv 2511.02405physics.plasm-phphysics.comp-ph
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使用 Numerical Flow Iteration 模拟多物种动力学不稳定性

Simulation of multi-species kinetic instabilities with the Numerical Flow Iteration

KU Leuven(鲁汶大学);RWTH Aachen University(亚琛工业大学)

Rostislav-Paul Wilhelm, Manuel Torrilhon

AI总结:

本研究扩展了 Numerical Flow Iteration (NuFI) 方法以支持非周期性边界条件,并降低计算复杂性,从而实现更长时间的多物种动力学不稳定性模拟。

摘要:

动力学不稳定性是计算等离子体物理中最具挑战性的方面之一。准确捕捉其发生和演化需要对每个相关物种的高维分布函数进行精细分辨率,这很快就会变得在计算上极其昂贵。此外,由于重离子和轻电子之间的尺度巨大分离,等离子体动力学本质上是一种多尺度现象。在先前的工作中,Numerical Flow Iteration (NuFI) 被提议作为一种具有降低内存复杂性的高保真度替代方案,使其成为模拟复杂动力学不稳定性的有趣候选者。在这项工作中,我们将 NuFI 扩展到非周期性边界条件,并演示如何降低计算复杂性以实现更长的模拟周期。

英文摘要:

Kinetic instabilities are one of the most challenging aspects in computational plasma physics. Accurately capturing their onset and evolution requires fine resolution of the high-dimensional distribution functions of each relevant species, which quickly becomes computationally prohibitively expensive. Additionally, plasma dynamics is an inherently multi-scale phenomenon due to the vast separation of scales between heavy ions and light-weight electrons. In previous work the Numerical Flow Iteration (NuFI) was suggested as a high-fidelity alternative with reduced memory complexity making it an interesting candidate to simulate complicated kinetic instabilities. In this work we extend NuFI to non-periodic boundary conditions and demonstrate how it is possible to reduce the computational complexity to allow for longer simulation periods.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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