Computational Astrophysics Lab.
Career History
- 2007 : Ph. D. Physics & Astronomy, State Univ. of New York at Stony Brook
- 1999 : M. S. Theoretical Nuclear Physics, Seoul National University
- 1997 : B. S. Physics, Seoul National University
- 2012 ~ Present : Assistant/Associate Professor, UNIST
- 2012 : Post-doc., Korea Astronomy & Space Science Institute (KASI)
- 2007 ~ 2012 : Post-doc., Univ. of Georgia
- 2013 ~ Present : Member, Korean Astronomical Society
- 2012 ~ Present : Member, Korean Physical Society
- 2004 ~ Present : Member, American Astronomical Society
Intro
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) nuclear burning within the stars and on the surface of compact stars such as white dwarfs and neutron stars (3) chemical reactions in star formation and evolved star. We also apply various machine learning algorithms to analyze the astronomical big data obtained from both the simulations and the observations.
Research Field
Computational astrophysics. Numerical hydrodynamic simulations with additional features: magnetic field, radiation, relativistic effects, and nuclear, atomic, and chemical reactions. Applications to astronomical observations related to nuclear astrophysics (stellar evolution, neutron star, and X-ray bursts) and interstellar medium (high velocity clouds and star formation). Multi-messenger astronomy: gravitational wave and neutrino astronomy. Applying the artificial intelligence to analyze the astronomical big data.