机器学习的热流封闭用于非线性兰道减压的多时刻流体建模

Ziyu Huang1, Chuanfei Dong1, Liang Wang1

  • 1Department of Astronomy, Center for Space Physics, Boston University, Boston, MA 02215.

概括

这项研究引入了一种新的机器学习辅助流体模型,用于非线性等离子体物理学. 它准确地捕捉了动力等离子体演变,就像兰道减压,为相位空间模拟提供了一个计算效率高的替代方案.

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