220921.jpg

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.

News

2022-09-29220929.jpgFujima (M2) and Sato (M2) made presentations at JSFM Annual Meeting 2022 (Kyoto).
2022-09-12ConferenceIshize (M1) and Miura (M1) made presentations at Mechanical Engineering Congress, 2022 Japan (MECJ-22) (Toyama).
2022-08-01ConferenceFujima (M2), Matsuo (M2), Sato (M2), Chida (M1), and Miura (M1) made presentations at WCCM-APCOM 2022, Yokohama (Online).
2022-07-23Out now!M. Morimoto, K. Fukami, R. Maulik, R. Vinuesa, and K. Fukagata, "Assessments of epistemic uncertainty using Gaussian stochastic weight averaging for fluid-flow regression," Physica D 440, 133454 (2022).
2022-07-20ConferenceOkochi (M2) and Nabae (Alumni) made presentations at TSFP12, Osaka (Online).
2022-06-25Out now!M. Morimoto, K. Fukami, R. Maulik, R. Vinuesa, and K. Fukagata, Featured Research in CFD35: "Model-form uncertainty quantification in neural-network-based fluid-flow estimation," Nagare - J. Jpn. Soc. Fluid Mech. 41, 89-92 (2022).
2022-06-22Out now!Y. Nabae and K. Fukagata, "Drag reduction effect of streamwise traveling wave-like wall deformation with spanwise displacement variation in turbulent channel flow," Flow Turbul. Combust. (2022). https://doi.org/10.1007/s10494-022-00334-w
2022-05-31Out now!T. Nakamura and K. Fukagata, "Robust training approach of neural networks for fluid flow state estimations," Int. J. Heat Fluid Flow 96, 108977 (2022).
2022-05-26ConferenceFukagata gave an invited lecture at ParCFD 2022 (Alba, Italy (Hybrid)).
2022-03-31220331.jpgFukagata gave an invited talk at INI Workshop (Cambridge (hybrid)).
2022-03-31AwardChida (B4) received the Best Presentation Award at 61st JSME Kanto Student Union Conference.
2022-03-31Out now!D. Hiruma, R. Onishi, K. Takahashi, and K. Fukagata, "Sensitivity study on storm modulation through a strategic use of consumer air conditioners," Atmos. Sci. Lett. 23, e1091 (2022).
2022-03-28220328-1.jpgHasegawa (M2.5) received the JSME Miura Award, and Morimoto (M2) received the Fujiwara Award.
2022-03-23220323-chida-1.jpgChida (B4) received the Certificate of Merit from the Chair of Department of Mechanical Engineering, Keio University.
2022-03-08220308-fujima.jpgFujima (M1) received the Outstanding Presentation Award at 25th Inter-University Workshop on Turbulence Control (online).
2022-03-08Out now!T. Nakamura, K. Fukami, and K. Fukagata, "Identifying key differences between linear stochastic estimation and neural networks for fluid flow regressions," Sci. Rep. 12, 3726 (2022).
2022-02-15Out now!K. Fukagata, News & Views: "Towards quantum computing of turbulence," Nat. Comput. Sci. 2, 68-69 (2022).
2022-02-09PhD defenseNabae (D3)'s PhD defense was held.

Old news

Visitors: 6 today, 196494 since 2009-03-31

Last-modified: 2022-10-03 (Mon) 00:56:09 (4d)
Copyright © 2007-2022 Fukagata Lab., Keio University, All rights reserved.