People

Professor
People

Professor

Kyujin Kwak곽규진

  • methods: numerical
  • methods: numerical Gravitational waves
  • Galaxy: halo
  • hydrodynamics
  • ISM: clouds
  • ultraviolet: ISM
  • neutron stars

Current Research Interests

  • Research Interests:
  • Computational Fluid Dynamics. Astrophysical and Laboratory Plasma. Hydrodynamics with Radiation, Nuclear, Atomic, and Molecular Reactions. Multi-messenger astronomy: Gravitational Wave and Neutrino Astronomy. AI for Astronomical Data
  • Research Keywords:
  • Computational Astrophysics, Supercomputing, Plasma, Astro-Chemistry, Multi-Messenger Astronomy, Machine Learning
  • Supercomputers have been used to simulate various astrophysical phenomena, explaining physical processes behind observations and predicting new observables. We use supercomputer simulations to study following astrophysical phenomena:
  • (1) Astrophysical plasma in the interstellar/intergalactic medium with non-equilibrium ionization calculations
  • (2) Turbulence in relativistic flows with and without magnetic field
  • (3) Nuclear burning within the stars and on the surface of compact stars such as white dwarfs and neutron stars.
  • We also use numerical simulations of radiative transfer for the astrophysical phenomena such as gamma-ray bursts and supernovae. Our interest also includes molecular reactions occurring in various astro-physical and chemical environments.
  • Ongoing Research Topics:
  • Non-equilibrium ionization simulations of astrophysical plasma in interstellar and intergalactic medium
  • Numerical relativity: hydrodynamic and magneto-hydrodynamic simulations of turbulence in relativistic flows
  • Computational nuclear astrophysics for the rare isotope accelerator experiments
  • Relativistic radiative transfer for the astrophysical applications (e.g., Gamma-Ray Bursts and Active Galactic Nuclei)
  • Non-equilibrium molecular reaction simulations
  • Gravitational wave detector: noise hunting to increase detector sensitivity
  • Neutrino astronomy: searching for new astrophysical sources
  • Applying machine learning to astrophysical big data

Biographical Sketch

  • Career and Education
  • 2021~Present: Associate Professor, UNIST
  • 2012~2021: Assistant Professor, UNIST
  • 2012: Post-doc., Korea Astronomy & Space Science Institute (KASI)
  • 2007~2012: Post-doc., Univ. of Georgia, USA
  • 2007: PhD. Physics & Astronomy, State Univ. of New York at Stony Brook, USA
  • 1999: MS. Theoretical Nuclear Physics, Seoul National University
  • 1997: B. S. Physics, Seoul National University
  • Academic Membership
  • 2013~Present: Member, Korean Astronomical Society
  • 2012~Present: Member, Korean Physical Society
  • 2004~Present: Member, American Astronomical Society

Selected Publications

  • 1. Neutrinos from Carbon-burning Red Supergiants and Their Detectability, Seong, Gwangeon; Kwak, Kyujin; Ryu, Dongsu; Shin, Bok-Kyun, 2025, Astrophysical Journal, v.981, no.1, pp.86
  • 2. GWTC-3: Compact Binary Coalescences Observed by LIGO and Virgo during the Second Part of the Third Observing Run, Ligo-Virgo-Kagra Collaboration (with Kyujin Kwak), 2023, Physical Review X, v.13, no.4, pp.041039
  • 3. Isotopic Compositions of Ruthenium Predicted from the NuGrid Project, Kim, Seonho; Sung, Kwang; Kwak, Kyujin, 2022, Astrophysical Journal, v.924, no.2, pp.88
  • 4. Hyperon puzzle of neutron stars with Skyrme force models, Lim, Yeunhwan; Hyun, Chang Ho; Kwak, Kyujin; Lee, Chang-Hwan, 2015, International Journal of Modern Physics E-Nuclear Physics, v.24, no.12, pp.1550100
  • 5. Si Iv Column Densities Predicted from Non-Equilibrium Ionization Simulations of Turbulent Mixing Layers and High-Velocity Clouds, Kwak, Kyujin; Shelton, Robin L.; Henley, David B., 2015, Astrophysical Journal, v.812, no.2, pp.111

Lab Introduction video

  • https://youtu.be/Z7UOzJJtyAY

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