Keio University

Published papers

Fukagata, Koji

21-40 items (total 171)

Convolutional neural networks for fluid flow analysis: toward effective metamodeling and low dimensionalization

Author
M. Morimoto, K. Fukami, K. Zhang, A. G. Nair, and K. Fukagata
Publication Title
Magazine name Theor. Comput. Fluid Dyn. Start Page 633 - End Page 658 (Publication Date)2021/08)
Role
Last Author
Authorship Category
Joint Work
Publication Category
Research paper (scientific journal)
Peer-review Status
With

Experimental velocity data estimation for imperfect particle images using machine learning

Author
M. Morimoto, K. Fukami, and K. Fukagata
Publication Title
Magazine name Phys. Fluids Volume 33(Issue 8) Start Page 087121 (Publication Date)2021/08)
Role
Last Author Corresponding Author
Authorship Category
Joint Work
Publication Category
Research paper (scientific journal)
Peer-review Status
With

Sparse identification of nonlinear dynamics with low-dimensionalized flow representations

Author
K. Fukami, T. Murata, K. Zhang, and K. Fukagata
Publication Title
Magazine name J. Fluid Mech. Start Page A10 (Publication Date)2021/09)
Role
Last Author
Authorship Category
Joint Work
Publication Category
Research paper (scientific journal)
Peer-review Status
With

Numerical modeling of spark path with stretching and short circuit in three-dimensional flow

Author
R. Arai, Y. Nabae, R. Uekusa, H. Murakami, and K. Fukagata
Publication Title
Magazine name SAE Technical Paper (Publication Date)2021/09)
Role
Last Author
Authorship Category
Joint Work
Publication Category
Research paper (international conference proceedings)
Peer-review Status
With

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

Author
K. Fukami, K. Hasegawa, T. Nakamura, M. Morimoto, and K. Fukagata
Publication Title
Magazine name SN Comput. Sci. Start Page 467 (Publication Date)2021/09)
Role
Last Author
Authorship Category
Joint Work
Publication Category
Research paper (scientific journal)
Peer-review Status
With

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

Author
H. Seki, K. Fukagata, S. Ito, R. Okada, and T. Ouchi
Publication Title
Magazine name Br. J. Anaesth. Start Page E192 - End Page E195 (Publication Date)2021/09)
Authorship Category
Joint Work
Publication Category
Research paper (scientific journal)
Peer-review Status
With

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

Author
K. Fukami, R. Maulik, N. Ramachandra, K. Fukagata, and K. Taira
Publication Title
Magazine name Nat. Mach. Intell. Start Page 945 - End Page 951 (Publication Date)2021/10)
Authorship Category
Joint Work
Publication Category
Research paper (scientific journal)
Peer-review Status
With

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

Author
Y. Nabae and K. Fukagata
Publication Title
Magazine name J. Fluid Sci. Technol. Start Page JFST0024 (Publication Date)2021/12)
Role
Last Author
Authorship Category
Joint Work
Publication Category
Research paper (scientific journal)
Peer-review Status
With

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

Author
Y. Morita, S. Rezaeiravesh, N. Tabatabaei, R. Vinuesa, K. Fukagata, and P. Schlatter
Publication Title
Magazine name J. Comput. Phys. Start Page 110788 (Publication Date)2022/01)
Authorship Category
Joint Work
Publication Category
Research paper (scientific journal)
Peer-review Status
With

Generalization techniques of neural networks for fluid flow estimation

Author
M. Morimoto, K. Fukami, K. Zhang, and K. Fukagata
Publication Title
Magazine name Neural Comput. Appl. Volume 34(Issue 5) Start Page 3467 - End Page 3669 (Publication Date)2022/03)
Role
Last Author
Authorship Category
Joint Work
Publication Category
Research paper (scientific journal)
Peer-review Status
With

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

Author
T. Nakamura, K. Fukami, and K. Fukagata
Publication Title
Magazine name Scientific Reports Start Page 3726 (Publication Date)2022/03)
Role
Last Author Corresponding Author
Authorship Category
Joint Work
Publication Category
Research paper (scientific journal)
Peer-review Status
With

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

Author
S. Miura, M. Ohashi, K. Fukagata, and N. Tokugawa
Publication Title
Magazine name AIAA J. Volume 60(Issue 4) Start Page 2241 - End Page 2250 (Publication Date)2022/04)
Role
Corresponding Author
Authorship Category
Joint Work
Publication Category
Research paper (scientific journal)
Peer-review Status
With

Robust training approach of neural networks for fluid flow state estimations

Author
T. Nakamura and K. Fukagata
Publication Title
Magazine name Int. J. Heat Fluid Flow Start Page 108997 (Publication Date)2022/05)
Role
Last Author Corresponding Author
Authorship Category
Joint Work
Publication Category
Research paper (scientific journal)
Peer-review Status
With

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

Author
D. Hiruma, R. Onishi, K. Takahashi, and K. Fukagata
Publication Title
Magazine name Atmos. Sci. Lett. (Publication Date)2022/03)
Authorship Category
Joint Work
Publication Category
Research paper (scientific journal)
Peer-review Status
With

Machine-learning-based spatio-temporal super resolution reconstruction of turbulent flows

Author
K. Fukami, K. Fukagata, and K. Taira
Publication Title
Magazine name J. Fluid Mech. Start Page A9 (Publication Date)2021/02)
Authorship Category
Joint Work
Publication Category
Research paper (scientific journal)
Peer-review Status
With

Convolutional neural network and long short-term memory based reduced order surrogate for minimal turbulent channel flow

Author
T. Nakamura, K. Fukami, K. Hasegawa, Y. Nabae, and K. Fukagata
Publication Title
Magazine name Phys. Fluids Start Page 025116 (Publication Date)2021/02)
Authorship Category
Joint Work
Publication Category
Research paper (scientific journal)
Peer-review Status
With

CNN-LSTM based reduced order modeling of two-dimensional unsteady flows around a circular cylinder at different Reynolds numbers

Author
K. Hasegawa, K. Fukami, T. Murata, and K. Fukagata
Publication Title
Magazine name Fluid Dyn. Res. Start Page 065501 (Publication Date)2020/11)
Authorship Category
Joint Work
Publication Category
Research paper (scientific journal)
Peer-review Status
With

Probabilistic neural networks for fluid flow surrogate modeling and data recovery

Author
R. Maulik, K. Fukami, N. Ramachandra, K. Fukagata, and K. Taira
Publication Title
Magazine name Phys. Rev. Fluids Start Page 104401 (Publication Date)2020/10)
Authorship Category
Joint Work
Publication Category
Research paper (scientific journal)
Peer-review Status
With

Turbulent friction drag reduction on Clark-Y airfoil by passive uniform blowing

Author
S. Hirokawa, M. Ohashi, K. Eto, K. Fukagata, and N. Tokugawa
Publication Title
Magazine name AIAA J. Start Page 4178 - End Page 4180 (Publication Date)2020/09)
Authorship Category
Joint Work
Publication Category
Research paper (scientific journal)
Peer-review Status
With

Resolvent analysis of turbulent channel flow with manipulated mean velocity profile

Author
R. Uekusa, A. Kawagoe, Y. Nabae, and K. Fukagata
Publication Title
Magazine name J. Fluid Sci. Technol. Volume 15(Issue 3) Start Page JFST0014 (Publication Date)2020/04)
Authorship Category
Joint Work
Publication Category
Research paper (scientific journal)
Peer-review Status
With