Papers - Fukagata, Koji

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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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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Bayesian optimization of traveling wave-like wall deformation for friction drag reduction in turbulent channel flow

Y. Nabae and K. Fukagata

J. Fluid Sci. Technol. 16   JFST0024 2021.12

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

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Global field reconstruction from sparse sensors with Voronoi tessellation-assisted deep learning

K. Fukami, R. Maulik, N. Ramachandra, K. Fukagata, and K. Taira

Nat. Mach. Intell. 3   945 - 951 2021.10

Research paper (scientific journal), Joint Work, Accepted

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The effect of a high-flow nasal cannula on oxygen concentration at the surgical site: A pilot study

H. Seki, K. Fukagata, S. Ito, R. Okada, and T. Ouchi

Br. J. Anaesth. 127   E192 - E195 2021.09

Research paper (scientific journal), Joint Work, Accepted

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Model order reduction with neural networks: Application to laminar and turbulent flows

K. Fukami, K. Hasegawa, T. Nakamura, M. Morimoto, and K. Fukagata

SN Comput. Sci. 2   467 2021.09

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

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