As a postdoctoral fellow in Professor Im’s computational reacting flow laboratory (CRFL), I focus is on understanding the mechanisms of pre-ignition, deflagration, and detonation in combustion devices such as IC engines, shock tubes, and rapid compression machines (RCM) under extreme high-load operating conditions. Mining rich-hidden information from big DNS datasets allows developing a reliable predictive model and extending the regime diagram for real-world industrial applications. Partially, I also contribute to developing KAUST Adaptive Reacting Flow Solvers (KARFS) to prepare for the next generation of high-fidelity and high-performance DNS in the exascale era to fully utilize the heterogeneous architecture supercomputers.
Research Interests Keywords
Direct Numerical Simulation (DNS)
Homogeneous Charge Compression Ignition (HCCI)
Low Temperature Combustion (LTC)
Internal Combustion Engine Simulation