![[kflab.jp]](../ja/image/kflab2015.jpg "[kflab.jp]")
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.
| 2025-07-07 | Out now! | K. Fukagata and K. Fukami, "Compressing fluid flows with nonlinear machine learning: mode decomposition, latent modeling, and flow control," Fluid Dyn. Res. 57, 041401 (2025). |
| 2025-06-17 |  | Unfortunately, we lost in the first round of the Faculty of Science and Engineering Softball Tournament沽ｭ |
| 2025-05-29 |  | Fukagata gave a keynote lecture at 1st International Symposium on AI and Fluid Mechanics (27-30 May 2025, Chania, Greece). |
| 2025-05-17 |  | IUTAM Symposium on Machine Learning in Diverse Fluid Mechanics (15-17 May 2025, Okinawa, Japan) chaired by Fukagata has closed. |
| 2025-05-09 | Out now! | Y. Okochi, Y. Nabae, and K. Fukagata, "Direct numerical simulation of a bump-installed turbulent channel flow for drag reduction by blowing and suction," J. Fluid Mech. 1010, A69 (2025). |
| 2025-05-02 | Preprint | K. Fukagata and K. Fukami, "Compressing fluid flows with nonlinear machine learning: mode decomposition, latent modeling, and flow control," arXiv preprint, arXiv:2505.00343 [physics.flu-dyn]. |
| 2025-04-04 | Award | Takarabe (B4 at that time) and Suzuki (B4 at that time) received the Best Presentation Award at 64th JSME Kanto Student Union Conference. |
| 2025-04-01 |  | Fukagata has been appointed to the Chair of JSME Fluids Engineering Division (JSME-FED). |
| 2025-03-28 |  | Miura (D1) made a presentation at The First Imperial-Keio Joint Workshop on Applied Mathematics and Engineering (London, UK). |
| 2025-03-24 |  | Nakamura (B4) received the JSME Hatakeyama Award. |
| 2025-03-24 |  | Takarabe (B4) received the Best Bachelor Thesis Presentation Award from Department of Mechanical Engineering, Keio University. |
| 2025-03-04 |  | Iwasawa (M2) received the Outstanding Presentation Award at 37th Inter-University Workshop on Turbulence Control (Tokyo). |
| 2025-03-03 |  | Nakamura (B4), Nakazawa (B4), Sakazume (B4), Suzuki (B4), and Takarabe (B4) made presentations at 64th JSME Kanto Student Union Conference (Saitama). |
| 2025-01-09 | Out now! | Y. Nabae, K. Inagaki, H. Kobayashi, H. Gotoda, and K. Fukagata, "Large-eddy simulation of high-Reynolds-number turbulent channel flow controlled using streamwise traveling wave-like wall deformation for drag reduction," J. Fluid Mech. 1003, A2 (2025). |
| 2025-01-09 | Conference | Omichi (M2) made a presentation at AIAA SciTech Forum (Orlando, Florida). |
| 2024-12-13 |  | Haziqah (D2), Nakamura (B4), and Takarabe (B4) made presentations at The 38th CFD Symposium (Tokyo). |
| 2024-11-19 | Out now! | T. Oura and K. Fukagata, "Defiltering turbulent flow fields for Lagrangian particle tracking using machine learning techniques," Phys. Fluids 36, 113366 (2024). (Preprint, arXiv:2411.04384 [physics.flu-dyn]) |
| 2024-11-18 | 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. 56, 061401 (2024). (Preprint, arXiv:2411.05326 [physics.flu-dyn]) |
| 2024-10-09 |  | Oishi (M1) received Best Presentation Award at 35th Inter-University Workshop on Turbulence Control (Tokyo). |
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ML Project
