Papers - Fukagata, Koji

Drag reduction effect by streamwise traveling wave-like wall-surface heating/cooling in a turbulent channel flow

Y. Nabae, H. Mamori, and K. Fukagata

J. Therm. Sci. Technol.  20 ( 2 ) 25-00225 2025.10

Research paper (scientific journal), Joint Work, Last author, Accepted

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Compressing fluid flows with nonlinear machine learning: mode decomposition, latent modeling, and flow control

K. Fukagata and K. Fukami

Fluid Dyn. Res. 57 ( 4 ) 041401 2025.07

Joint Work, Lead author, Corresponding author, Accepted

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Direct numerical simulation of a bump-installed turbulent channel flow for drag reduction by blowing and suction

Y. Okochi, Y. Nabae, and K. Fukagata

J. Fluid Mech. 1010   A69 2025.05

Research paper (scientific journal), Joint Work, Last author, Accepted

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Large-eddy simulation of high-Reynolds-number turbulent channel flow controlled using streamwise traveling wave-like wall deformation for drag reduction

Y. Nabae, K. Inagaki, H. Kobayashi, H. Gotoda, and K. Fukagata

J. Fluid Mech. 1003   A2 2025.01

Research paper (scientific journal), Joint Work, Last author, Accepted

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Reinforcement learning with symmetry reduction for rotating cylinder wakes: finding unstable low-drag fixed points

H. Omichi, A. J. Linot, K. Fukagata, and K. Taira

AIAA Paper    AIAA 2025-1299 2025.01

Research paper (international conference proceedings), Joint Work, Accepted

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Defiltering turbulent flow fields for Lagrangian particle tracking using machine learning techniques

T. Oura and K. Fukagata

Phys. Fluids 36   113366 2024.11

Research paper (scientific journal), Joint Work, Last author, Accepted

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Implementation of spectral methods on Ising machines: toward flow simulations on quantum annealers

K. Takagi, N. Moriya, S. Aoki, K. Endo, M. Muramatsu, and K. Fukagata

Fluid Dyn. Res. 56   061401 2024.11

Research paper (scientific journal), Joint Work, Last author, Corresponding author, Accepted

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Flow control by a hybrid use of machine learning and control theory

T. Ishize, H. Omichi, and K. Fukagata

Int. J. Numer. Meth. Heat Fluid Flow 34 ( 8 ) 3253 - 3277 2024.08

Research paper (scientific journal), Joint Work, Last author, Corresponding author, Accepted

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Reconstructing three-dimensional bluff body wake from sectional flow fields with convolutional neural networks

M. Matsuo, K. Fukami, T. Nakamura, M. Morimoto, K. Fukagata

SN Comput. Sci. 5   306 2024.03

Research paper (scientific journal), Last author, Corresponding author, Accepted

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Theoretical and numerical analyses of turbulent plane Couette flow controlled using uniform blowing and suction

Y. Nabae, K. Fukagata

Int. J. Heat Fluid Flow 106   109286 2024.01

Research paper (scientific journal), Joint Work, Last author, Accepted

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Super-resolution analysis via machine learning: A survey for fluid flows

K. Fukami, K. Fukagata, and K. Taira

Theor. Comput. Fluid Dyn. 36   421 - 444 2023.06

Research paper (scientific journal), Joint Work, Accepted

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A new perspective on skin-friction contributions in adverse-pressure-gradient turbulent boundary layers

M. Atzori, F. Mallor, R. Pozuelo, K. Fukagata, R. Vinuesa, and P. Schlatter

Int. J. Heat Fluid Flow 101   109117 2023.02

Research paper (scientific journal), Joint Work, Accepted

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Assessments of epistemic uncertainty using Gaussian stochastic weight averaging for fluid-flow regression

M. Morimoto, K. Fukami, R. Maulik, R. Vinuesa, and K. Fukagata

Physica D 440   133454 2022.07

Research paper (scientific journal), Joint Work, Last author, Accepted

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Drag reduction effect of streamwise traveling wave-like wall deformation with spanwise displacement variation in turbulent channel flow

Y. Nabae and K. Fukagata

Flow Turbul. Combust. 109   1175 - 1194 2022.06

Research paper (scientific journal), Joint Work, Last author, Accepted

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Robust training approach of neural networks for fluid flow state estimations

T. Nakamura and K. Fukagata

Int. J. Heat Fluid Flow 96   108997 2022.05

Research paper (scientific journal), Joint Work, Last author, Corresponding author, Accepted

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Drag reduction by uniform blowing on the pressure surface of an airfoil

S. Miura, M. Ohashi, K. Fukagata, and N. Tokugawa

AIAA J. 60 ( 4 ) 2241 - 2250 2022.04

Research paper (scientific journal), Joint Work, Corresponding author, Accepted

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Sensitivity study on storm modulation through a strategic use of consumer air conditioners

D. Hiruma, R. Onishi, K. Takahashi, and K. Fukagata

Atmos. Sci. Lett.  2022.03

Research paper (scientific journal), Joint Work, Accepted

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Identifying key differences between linear stochastic estimation and neural networks for fluid flow regressions

T. Nakamura, K. Fukami, and K. Fukagata

Scientific Reports 12   3726 2022.03

Research paper (scientific journal), Joint Work, Last author, Corresponding author, Accepted

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Generalization techniques of neural networks for fluid flow estimation

M. Morimoto, K. Fukami, K. Zhang, and K. Fukagata

Neural Comput. Appl. 34 ( 5 ) 3467 - 3669 2022.03

Research paper (scientific journal), Joint Work, Last author, Accepted

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Applying Bayesian optimization with Gaussian process regression to computational fluid dynamics problems

Y. Morita, S. Rezaeiravesh, N. Tabatabaei, R. Vinuesa, K. Fukagata, and P. Schlatter

J. Comput. Phys. 449   110788 2022.01

Research paper (scientific journal), Joint Work, Accepted

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