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Fusion and Plasma Application Research Laboratory(FPL) aims at resolving various problems for successful nuclear fusion experiments and commercialization through research on multi-scale interaction of plasma behavior. The research includes Eulerian & Lagrangian code development based on Gyrokinetics and MHD (magneto-hydro dynamics), extension and improvement on theories and numerical methods for simulation of long time plasma behavior, code verification & validation, and parallel programming and code optimization to utilize the latest architectures being used in supercomputers. These research subjects allow us to carry out more realistic simulation of plasma behavior in nuclear fusion reactors considering impurities and consequently to clarify and exploit underlying physics of experimental results.
Major research field
Plasma simulation, Plasma transport physics, High performance computing, Automatic mesh generation, Machine Learning
Desired field of research
Applications of Plasma simulations
Research Keywords and Topics
· Physics and simulations of Gyrokinetics and turbulence transport in nuclear fusion
· Virtual Tokamak development (Digital twin, VR) - Unreal game engine, Unity, Blender, etc…
· Automatic unstructured mesh generation and its utilization - PUMI(RPI SCOREC), SimModSuite(Simmetrix)
· High performance computing (Code parallelization and optimization)
· Machine learning (Data-driven & Physics-Informed)
Research Publications
MORE. Computer Physics Communications / Nonlinear Fokker-Planck collision operator in Rosenbluth form for gyrokinetic simulations using discontinuous Galerkin method / Dongkyu Kim, Janghoon Seo, Gahyung Jo, Jae-Min Kwon, Eisung Yoon / 2022-10
. Journal of parallel and distributed computing / PUMIPic: A mesh-based approach to unstructured mesh Particle-In-Cell on GPUs / Gerrett Diamond, Cameron W. Smith, Chonglin Zhang, Eisung Yoon, Mark S. Shephard / 2021-11
. Nature Communications / Effects of plasma turbulence on the nonlinear evolution of magnetic island in Tokamak / Minjun J. Choi; Lāszlo Bardōczi; Jae-Min Kwon; T. S. Hahm; Hyeon K. Park; Jayhyun Kim; Minho Woo; Byoung-Ho Park; Gunsu S. Yun; Eisung Yoon; George McKee / 2021-01
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