2 papers
physics.flu-dyn2026
Data-driven oscillator model for multi-frequency turbulent flows
Youngjae Kim, Koichiro Yawata, Hiroya Nakao +1
The complex dynamics of high-dimensional oscillatory flows can be simplified using phase-reduction analysis, providing a deeper understanding of the flow response to external pertu…
physics.flu-dyn2023
On stable wrapper-based parameter selection method for efficient ANN-based data-driven modeling of turbulent flows
Hyeongeun Yun, Yongcheol Choi, Youngjae Kim +1
To model complex turbulent flow and heat transfer phenomena, this study aims to analyze and develop a reduced modeling approach based on artificial neural network (ANN) and wrapper…