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Welcome to Keio Univ. Fukagata Laboratory!†

Fukagata laboratory, Department of Mechanical Engineering, Keio University, is a relatively new (?) laboratory, born in 2007.

Our research interests are numerical simulation and mathematical modeling of complex heat and fluid flow phenomena including turbulent flows and development of advanced control methods for such flow phenomena. The research area is being expanded toward establishment of design methodology for thermo-fluids systems by integrating control theories, optimization methods, machine learning, and large-scale flow simulation techniques.

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News†

2024-11-08	Preprint	T. Oura and K. Fukagata, "Defiltering turbulent flow fields for Lagrangian particle tracking using machine learning techniques," Phys. Fluids (to appear). (Preprint, arXiv:2411.04384 [physics.flu-dyn])
2024-10-30	Out now!	K. Takagi, N. Moriya, S. Aoki, K. Endo, M. Muramatsu, and K. Fukagata, "Implementation of spectral methods on Ising machines: toward flow simulations on quantum annealers," Fluid Dyn. Res. (2024 in press), https://doi.org/10.1088/1873-7005/ad8d09
2024-10-09		Oishi (M1) received Best Presentation Award at 35th Inter-University Workshop on Turbulence Control (Tokyo).
2024-09-27		Iwasawa (M2) and Hirota (M1) made presentations at 2024 JSFM Annual Meeting (Sendai).
2024-09-04	Conference	Fukagata made a presentation at The 67th National Congress of Theoretical and Applied Mechanics (NCTAM67), Yokohama.
2024-08-27		Fukagata gave an invited talk at 26th International Conference of the Theoretical and Applied Mechanics (ICTAM 2024), Daegu, Korea.
2024-08-22	Conference	Fukagata gave an invited lecture at the kick-off meeting of the Fluid Science Research Cluster, Meiji University.
2024-08-14	Out now!	T. Ishize, H. Omichi, and K. Fukagata, "Flow control by a hybrid use of machine learning and control theory," Int. J. Numer. Meth. Heat Fluid Flow 34, 3253-3277 (2024).
2024-07-22		Goto (M2) and Oishi (M1) made presentations at 16th World Congress on Computational Mechanics (WCCM2024), Vancouver.
2024-07-12	Out now!	K. Fukagata, "Flow field reduction, estimation, and control using convolutional neural networks", JSME-CMD Newsletter，No. 71, 20-23 (2024) (in Japanese).
2024-06-22		Oura (D2) received Best Presentation Award at 34th Inter-University Workshop on Turbulence Control (Yokohama).
2024-04-16		Hirota (B4 at that time) received the Best Presentation Award at 63rd JSME Kanto Student Union Conference.
2024-03-25		Oishi (B4) received The Best Bachelor Thesis Presentation Award from Department of Mechanical Engineering, Keio University.
2024-03-13		Oishi (B4), Saeki (B4), Takagi (B4), Hirota (B4), and Funai (B4) made presentations at 63rd JSME Kanto Student Union Conference (Tokyo).
2024-03-11	Award	Takagi (B4) received the Outstanding Presentation Award at 33rd Inter-University Workshop on Turbulence Control (Tokyo).
2024-03-07	Out now!	M. Matsuo, K. Fukami, T. Nakamura, M. Morimoto, and K. Fukagata, "Reconstructing three-dimensional bluff body wake from sectional flow fields with convolutional neural networks, SN Comput. Sci. 5, 306 (2024).
2024-03-04		Iwasawa (M1) made a presentation at FY2023 AICE Annual Meeting (Tokyo).
2024-01-22	Out now!	K. Fukagata, K. Iwamoto, and Y. Hasegawa, "Turbulent drag reduction by streamwise traveling waves of wall-normal forcing," Annu. Rev. Fluid Mech. 56, 69-90 (2024).
2024-01-13	Out now!	Y. Nabae and K. Fukagata, "Theoretical and numerical analyses of turbulent plane Couette flow controlled using uniform blowing and suction," Int. J. Heat Fluid Flow 106, 109286 (2024).