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htymjun/README.md

Jun Hatayama

About Me

  • PhD student working on compressible flow simulations
  • Developing GPU-accelerated CFD solvers with CUDA Fortran
  • Exploring information-theoretic approaches for fluid dynamics and turbulence analysis

Research Interests

Computational Fluid Dynamics

  • Compressible Navier–Stokes simulations
  • Shock/Boundary Layer Interaction

HPC & GPU Computing

  • Multi-GPU communication (overlapping communication and computation)
  • Performance optimization for CFD codes (Nsight Systems, Nsight Compute)

Information Theory

  • Information-theoretic causal inference for fluid dynamics

Featured Publication

@article{hatayama2026nonlinear,
  title={Nonlinear causal relationship between separation bubbles and reflected shock wave in shock wave/turbulent boundary layer interaction based on information theory},
  author={Hatayama, Jun and Tanaka, Kento and Kouchi, Toshinori},
  journal={Computers \& Fluids},
  pages={107016},
  year={2026},
  publisher={Elsevier}
}

Notes

Some projects are experimental and under active development.

Pinned Loading

  1. OUxInfo OUxInfo Public

    A Python package powered by a C++ backend for Shannon entropy estimator for causal inference.

    C++ 3

  2. OUxSBLI OUxSBLI Public

    GPU-accelerated CFD code with Python API written in CUDA Fortran.

    Fortran 3