“Japan-originated" compactification project for nonlinear aerodynamic phenomena with an ultra-high degree of freedom
“Japan-originated" compactification project for nonlinear aerodynamic phenomena with an ultra-high degree of freedom
MEXT Coordination Funds for Promoting AeroSpace Utilization (Number J000959)
PI: Kai Fukami
Project term: 2025/10/1-2028/3/31
Budget: ¥ 40,400,000
K. Fukami, Y. Iwatani, S. Maejima, H. Asada, S. Kawai, “Compact representation of transonic airfoil buffet flows with observable-augmented machine learning,” Journal of Fluid Mechanics, 1021, A39, 2025 (preprint, arXiv:2509.17306 [physics.flu-dyn])
K. Fukami, R. Araki, “Machine-learning-based informative mode analysis for airfoil wakes,” in the 22nd International Conference on Flow Dynamics, Miyagi, Japan, Nov 2025.
[Invited] K. Fukami, “Data-oriented modeling and control of unsteady flows: generalized super-resolution and manifold learning,” in the Biofluid Workshop on data processing for biofluid dynamics at Research Institute for Mathematical Sciences, Kyoto University, Kyoto, Japan, Oct 2025.
R. Araki, K. Fukami, “Extracting time-varying causal modes with information-theoretic machine learning for unsteady separated airfoil wakes,” in the 63rd Aircraft Symposium, Okinawa, Japan, Oct 2025.