FLOW PHYSIC & ENGINNERING LABORATORY | Department of Mechanical Engineering

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Flow prediction using deep learning
A GPU-accelerated simulation of a K-type boundary-layer transition
Prediction of typhoon tracks using a generative adversarial network with observational and meteorological data. arXiv:1812.01943.
Large-eddy simulation of turbulent flows over automotive vehicles
Shock waves over a circular cylinder ( Re=10000 / Ma= 0.85 )
Aggregation of red-blood cells (RBCs) in a stenosed blood vessel
AI prediction of typhoons : Neoguri (left) and Malakas (right)
Numerical simulations of a swimming airfoil and a fluttering flag
Auto grid-generation using machine learning

Develop and utilize theoretical, computational, and experimental methods for integrated analyses and design of multi-physics involving fluids engineering systems aiming at innovation in energy conversion and utilization processes and in environmental compatibility.