Complex Global Simulation
  • 1. Overview of the research objectives

    In order to understand the behavior of an entire system composed of multiple hierarchies, individual simulations of each hierarchy are not sufficient. Global simulations that take into account the interactions between hierarchies are required. Such complex global simulations are an important issue that is expected to be realized not only in the field of nuclear fusion research but also in many other academic fields, but their realization is not easy. The reason for this is that the temporal and spatial scales of the microscopic hierarchy and the entire system are often extremely different, and the capacity and capability of computer is not sufficient to simulate the entire range of scales based on a single system of fundamental physical equations. The purpose of this unit is to develop simulation methods to solve this problem and to promote simulation research.

    Pressure perturbation of a magnetohydrodynamic (MHD) instability and an orbit of trapped thermal ion in a Large Helical Device plasma simulated with a kinetic-MHD hybrid code.
  • 2. Academic strategy

    The Complex Global Simulation Unit aims to develop simulation methods that couple different hierarchies and physical models to realize global simulations that predict and elucidate the behavior of entire physical systems that cannot be handled by simulations based on a single system of fundamental physical equations. This unit will develop 1) global simulations of the whole magnetic confinement fusion plasma including the core plasma and the edge plasma based on the kinetic-magnetohydrodynamic hybrid simulation, and 2) a methodology with broad applicability to achieve simulations that more closely reproduce real-world phenomena, beyond the strong limitations imposed by the capacity and capability of the supercomputer, with a special attention to modeling complex phenomena by the use of coherent structures, self-similarity and physics-based phenomenological model, as well as by the use of numerical approaches including reduced-order modeling, and data science methods.

    Plasma Simulator
    Supercomputer system “Plasma Simulator, RAIJIN”


Complex Global Simulation