Improvements on Richardson-Extrapolation for Partial Differential Equations
We improved exsting numerical solver using Richardson Extrapolation for Wave equations such as Helmholtz equation and partial differential equations.
Undergraduate Research Project
Advised by Seongjai Kim
Parameter-Dependent conditional Generative Adversarial Network (PDcGAN) Model for Multi-Phase Flow Prediction
We propose a parameter-dependent conditional generative adversarial network for predicting multi-phase flows. By conditioning the model on specific fuel parameters and input images, we accurately synthesize the resulting fuel morphology.
Undergraduate Research Project
Advised by Joonsik Hwang and Sungkwang Mun
Since then
The Ph.D. work
Reinforcement learning and control theory for nonlinear robotic systems.