深潟 康二

研究成果

年別の研究成果 1997 2009 2011 2013 2014 2017 2019 2020 2021 2022

• 2610 被引用数
• 24 h-index
• 84 Article
• 26 Conference contribution
• 11 Paper
• 4 Comment/debate
• 6 その他
  • 2 Conference article
  • 2 Editorial
  • 1 Letter
  • 1 Review article

年別の研究成果

年別の研究成果

検索結果

• 2022

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

  Morita, Y., Rezaeiravesh, S., Tabatabaei, N., Vinuesa, R., Fukagata, K. & Schlatter, P., 2022 1月 15, In: Journal of Computational Physics. 449, 110788.

  研究成果: Article › 査読

  Open Access

  • Computational Fluid Dynamics 100%
  • computational fluid dynamics 89%
  • Dynamic Problem 86%
  • regression analysis 78%
  • Gaussian Process 76%
  2 被引用数 (Scopus)

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

  Miura, S., Ohashi, M., Fukagata, K. & Tokugawa, N., 2022, In: AIAA journal. 60, 4, p. 2241-2250 10 p.

  研究成果: Article › 査読

  • Drag reduction 100%
  • Blow molding 89%
  • Airfoils 80%
  • Drag 31%
  • Friction 24%

• Generalization techniques of neural networks for fluid flow estimation

  Morimoto, M., Fukami, K., Zhang, K. & Fukagata, K., 2022 3月, In: Neural Computing and Applications. 34, 5, p. 3647-3669 23 p.

  研究成果: Article › 査読

  • Flow of fluids 100%
  • Neural networks 68%
  • Machine learning 49%
  • Drag coefficient 25%
  • Extrapolation 24%
  3 被引用数 (Scopus)

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

  Nakamura, T., Fukami, K. & Fukagata, K., 2022 12月, In: Scientific reports. 12, 1, 3726.

  研究成果: Article › 査読

  Open Access

  • Computer Neural Networks 100%
  • Nonlinear Dynamics 99%
  • Weights and Measures 48%

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

  Hiruma, D., Onishi, R., Takahashi, K. & Fukagata, K., 2022, (Accepted/In press) In: Atmospheric Science Letters.

  研究成果: Article › 査読

  Open Access

  • air 100%
  • moisture 51%
  • rain 35%
  • rainfall 28%
  • metropolis 26%
• 2021

  Adjoint-based sensitivity analysis for airfoil flow control aiming at lift-to-drag ratio improvement

  Ohashi, M., Fukagata, K. & Tokugawa, N., 2021, In: AIAA journal. 59, 11, p. 4437-4448 12 p.

  研究成果: Article › 査読

  • Airfoils 100%
  • Flow control 98%
  • Drag 92%
  • Blow molding 79%
  • Drag reduction 17%
  1 被引用数 (Scopus)

• A structured adaptive mesh refinement strategy with a sharp interface direct-forcing immersed boundary method for moving boundary problems

  Ghomizad, M. B., Kor, H. & Fukagata, K., 2021, In: Journal of Fluid Science and Technology. 16, 2, p. 1-22 22 p.

  研究成果: Article › 査読

  Open Access

  • Fluid structure interaction 100%
  • Block Like Crystal 60%
  • Incompressible flow 54%
  • Data transfer 45%
  • Finite difference method 44%
  1 被引用数 (Scopus)

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

  Nabae, Y. & Fukagata, K., 2021, In: Journal of Fluid Science and Technology. 16, 4, JFST0024.

  研究成果: Article › 査読

  Open Access

  • Drag reduction 100%
  • Channel flow 93%
  • Velocity 68%
  • Friction 57%
  • Flow 53%

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

  Nakamura, T., Fukami, K., Hasegawa, K., Nabae, Y. & Fukagata, K., 2021 2月 1, In: Physics of Fluids. 33, 2, 025116.

  研究成果: Article › 査読

  Open Access

  • Turbulent Channel Flow 100%
  • Memory Term 73%
  • Reduced Order Model 73%
  • machine learning 71%
  • Surrogate 68%
  21 被引用数 (Scopus)

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

  Morimoto, M., Fukami, K., Zhang, K., Nair, A. G. & Fukagata, K., 2021 10月, In: Theoretical and Computational Fluid Dynamics. 35, 5, p. 633-658 26 p.

  研究成果: Article › 査読

  • Metamodeling 100%
  • Flow Analysis 86%
  • Fluid Flow 61%
  • fluid flow 60%
  • Neural Networks 58%
  8 被引用数 (Scopus)

• Experimental velocity data estimation for imperfect particle images using machine learning

  Morimoto, M., Fukami, K. & Fukagata, K., 2021 8月 1, In: Physics of Fluids. 33, 8

  研究成果: Article › 査読

  • machine learning 100%
  • Imperfect 89%
  • Machine Learning 86%
  • Velocity 65%
  • Direct numerical simulation 60%
  4 被引用数 (Scopus)

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

  Fukami, K., Maulik, R., Ramachandra, N., Fukagata, K. & Taira, K., 2021 11月, In: Nature Machine Intelligence. 3, 11, p. 945-951 7 p.

  研究成果: Article › 査読

  • Deep learning 100%
  • Sensors 57%
  • Convolutional neural networks 11%
  • Turbulence 11%
  • Image processing 9%
  3 被引用数 (Scopus)

• Sparse identification of nonlinear dynamics with low-dimensionalized flow representations

  Fukami, K., Murata, T., Zhang, K. & Fukagata, K., 2021, In: Journal of Fluid Mechanics. 926, A10.

  研究成果: Article › 査読

  Open Access

  • wakes 100%
  • Convolutional neural networks 93%
  • decoders 46%
  • Shear flow 44%
  • regression analysis 35%
  2 被引用数 (Scopus)
• 2020

  Assessment of supervised machine learning methods for fluid flows

  Fukami, K., Fukagata, K. & Taira, K., 2020 8月 1, In: Theoretical and Computational Fluid Dynamics. 34, 4, p. 497-519 23 p.

  研究成果: Article › 査読

  • Supervised Learning 100%
  • machine learning 88%
  • Machine Learning 76%
  • regression analysis 71%
  • Fluid Flow 68%
  47 被引用数 (Scopus)

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

  Hasegawa, K., Fukami, K., Murata, T. & Fukagata, K., 2020 12月, In: Fluid Dynamics Research. 52, 6, 065501.

  研究成果: Article › 査読

  • Reynolds Number 100%
  • machine learning 92%
  • Long short-term memory 84%
  • unsteady flow 84%
  • circular cylinders 80%
  24 被引用数 (Scopus)

• Convolutional neural network based hierarchical autoencoder for nonlinear mode decomposition of fluid field data

  Fukami, K., Nakamura, T. & Fukagata, K., 2020 9月 1, In: Physics of Fluids. 32, 9, 095110-1.

  研究成果: Article › 査読

  • Flow Field 100%
  • Neural Networks 79%
  • Convolutional neural networks 76%
  • flow distribution 71%
  • Flow fields 70%
  35 被引用数 (Scopus)

• Experimental investigation on friction drag reduction on an airfoil by passive blowing

  Hirokawa, S., Eto, K., Fukagata, K. & Tokugawa, N., 2020, In: Journal of Fluid Science and Technology. 15, 2, 0011.

  研究成果: Article › 査読

  Open Access

  • Drag reduction 100%
  • Blow molding 89%
  • Airfoils 80%
  • Friction 57%
  • Reduction 37%
  5 被引用数 (Scopus)

• Machine-learning-based reduced-order modeling for unsteady flows around bluff bodies of various shapes

  Hasegawa, K., Fukami, K., Murata, T. & Fukagata, K., 2020 8月 1, In: Theoretical and Computational Fluid Dynamics. 34, 4, p. 367-383 17 p.

  研究成果: Article › 査読

  • Reduced-order Modeling 100%
  • bluff bodies 87%
  • Reduced Order Model 84%
  • machine learning 82%
  • unsteady flow 74%
  38 被引用数 (Scopus)

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

  Fukami, K., Fukagata, K. & Taira, K., 2020, In: Journal of Fluid Mechanics. 909, A9.

  研究成果: Article › 査読

  Open Access

  • machine learning 100%
  • Turbulent flow 79%
  • turbulent flow 73%
  • Machine learning 57%
  • multiscale models 27%
  36 被引用数 (Scopus)

• Nonlinear mode decomposition with convolutional neural networks for fluid dynamics

  Murata, T., Fukami, K. & Fukagata, K., 2020, In: Journal of Fluid Mechanics. 882, A13.

  研究成果: Article › 査読

  • fluid dynamics 100%
  • Fluid dynamics 97%
  • Convolutional neural networks 83%
  • decomposition 69%
  • Decomposition 66%
  71 被引用数 (Scopus)

• Parametric study toward optimization of blowing and suction locations for improving lift-to-drag ratio on a Clark-Y airfoil

  Ohashi, M., Morita, Y., Hirokawa, S., Fukagata, K. & Tokugawa, N., 2020, In: Journal of Fluid Science and Technology. 15, 2, 0008.

  研究成果: Article › 査読

  Open Access

  • Blow molding 100%
  • Airfoils 90%
  • Drag 83%
  • Surface 29%
  • Velocity 12%
  4 被引用数 (Scopus)

• Prediction of drag reduction effect by streamwise traveling wave-like wall deformation in turbulent channel flow at practically high Reynolds numbers

  Nabae, Y., Kawai, K. & Fukagata, K., 2020 4月, In: International Journal of Heat and Fluid Flow. 82, 108550.

  研究成果: Article › 査読

  • Reynolds Number 100%
  • drag reduction 93%
  • Drag reduction 88%
  • Channel flow 82%
  • high Reynolds number 82%
  6 被引用数 (Scopus)

• Probabilistic neural networks for fluid flow surrogate modeling and data recovery

  Maulik, R., Fukami, K., Ramachandra, N., Fukagata, K. & Taira, K., 2020 10月, In: Physical Review Fluids. 5, 10, 104401.

  研究成果: Article › 査読

  • Probabilistic Neural Network 100%
  • Surrogate 63%
  • Fluid Flow 51%
  • Recovery 51%
  • Flow of fluids 46%
  22 被引用数 (Scopus)

• Resolvent analysis of turbulent channel flow with manipulated mean velocity profile

  Uekusa, R., Kawagoe, A., Nabae, Y. & Fukagata, K., 2020, In: Journal of Fluid Science and Technology. 15, 3, p. 1-10 10 p.

  研究成果: Article › 査読

  Open Access

  • Channel flow 100%
  • Velocity 73%
  • Flow 56%
  • Friction 13%
  • Reynolds Number 13%
  1 被引用数 (Scopus)
• 2019

  Assessment of friction drag reduction on a clark-Y airfoil by uniform blowing

  Eto, K., Kondo, Y., Fukagata, K. & Tokugawa, N., 2019, In: AIAA journal. 57, 7, p. 2774-2782 9 p.

  研究成果: Article › 査読

  • Drag reduction 100%
  • Blow molding 89%
  • Airfoils 80%
  • Friction 57%
  • Drag 21%
  18 被引用数 (Scopus)

• Near-surface electron transport and its influence on the discharge structure of nanosecond-pulsed dielectric-barrier-discharge under different electrode polarities

  Hua, W. & Fukagata, K., 2019 1月 1, In: Physics of Plasmas. 26, 1, 013514.

  研究成果: Article › 査読

  • polarity 100%
  • electrodes 66%
  • plasma sheaths 51%
  • electrons 45%
  • strokes 45%
  9 被引用数 (Scopus)

• Numerical simulation of parallel-plate particle separator for estimation of charge distribution of PM2.5

  Yonemichi, T., Fukagata, K., Fujioka, K. & Okuda, T., 2019 4月 3, In: Aerosol Science and Technology. 53, 4, p. 394-405 12 p.

  研究成果: Article › 査読

  • particle separator 100%
  • Particle separators 96%
  • Charge distribution 81%
  • Aerosols 67%
  • Aerosol 58%
  2 被引用数 (Scopus)

• Proposal of control laws for turbulent skin friction reduction based on resolvent analysis

  Kawagoe, A., Nakashima, S., Luhar, M. & Fukagata, K., 2019 5月 10, In: Journal of Fluid Mechanics. 866, p. 810-840 31 p.

  研究成果: Article › 査読

  • friction reduction 100%
  • skin friction 75%
  • Skin friction 74%
  • proposals 60%
  • drag reduction 31%
  4 被引用数 (Scopus)

• Reconsideration of spanwise rotating turbulent channel flows via resolvent analysis

  Nakashima, S., Luhar, M. & Fukagata, K., 2019 2月 25, In: Journal of Fluid Mechanics. 861, p. 200-222 23 p.

  研究成果: Article › 査読

  • Channel flow 100%
  • channel flow 96%
  • Reynolds number 31%
  • low Reynolds number 27%
  • Flow structure 27%
  2 被引用数 (Scopus)

• Seasonal variation in atmospheric particle electrostatic charging states determined using a parallel electrode plate device

  Iwata, A., Fujioka, K., Yonemichi, T., Fukagata, K., Kurosawa, K., Tabata, R., Kitagawa, M., Takashima, T. & Okuda, T., 2019 4月 15, In: Atmospheric Environment. 203, p. 62-69 8 p.

  研究成果: Article › 査読

  • atmospheric particle 100%
  • electrode 67%
  • seasonal variation 65%
  • distribution 28%
  • particle 27%
  3 被引用数 (Scopus)

• Super-resolution reconstruction of turbulent flows with machine learning

  Fukami, K., Fukagata, K. & Taira, K., 2019 7月 10, In: Journal of Fluid Mechanics. 870, p. 106-120 15 p.

  研究成果: Article › 査読

  • machine learning 100%
  • Turbulent flow 79%
  • turbulent flow 73%
  • flow distribution 66%
  • Machine learning 57%
  142 被引用数 (Scopus)

• Synthetic turbulent inflow generator using machine learning

  Fukami, K., Nabae, Y., Kawai, K. & Fukagata, K., 2019 6月 4, In: Physical Review Fluids. 4, 6, 064603.

  研究成果: Article › 査読

  • Machine Learning 100%
  • Direct numerical simulation 92%
  • Direct numerical Simulation 86%
  • Turbulent Channel Flow 81%
  • Machine learning 66%
  55 被引用数 (Scopus)
• 2018

  Core position alignment in polymer optical waveguides fabricated using the Mosquito method

  Date, K., Fukagata, K. & Ishigure, T., 2018 6月 11, In: Optics Express. 26, 12, p. 15632-15641 10 p.

  研究成果: Article › 査読

  • optical waveguides 100%
  • alignment 78%
  • polymers 59%
  • wiring 25%
  • needles 20%
  4 被引用数 (Scopus)

• Extension of the unified interpolation stencil for immersed boundary method for moving boundary problems

  Kor, H., Ghomizad, M. B. & Fukagata, K., 2018, In: Journal of Fluid Science and Technology. 13, 2, 18-00167.

  研究成果: Article › 査読

  • Cylinder 100%
  • Interpolation 79%
  • Oscillating cylinders 73%
  • Force 63%
  • Sedimentation 60%
  2 被引用数 (Scopus)

• Influence of grid resolution in fluid-model simulation of nanosecond dielectric barrier discharge plasma actuator

  Hua, W. & Fukagata, K., 2018 4月 1, In: AIP Advances. 8, 4, 045209.

  研究成果: Article › 査読

  • plasma jets 100%
  • grids 87%
  • actuators 86%
  • fluids 62%
  • simulation 40%
  9 被引用数 (Scopus)
• 2017

  Assessment of suboptimal control for turbulent skin friction reduction via resolvent analysis

  Nakashima, S., Fukagata, K. & Luhar, M., 2017 10月 10, In: Journal of Fluid Mechanics. 828, p. 496-526 31 p.

  研究成果: Article › 査読

  • friction reduction 100%
  • skin friction 75%
  • Skin friction 74%
  • blowing 22%
  • suction 20%
  16 被引用数 (Scopus)

• A unified interpolation stencil for ghost-cell immersed boundary method for flow around complex geometries

  Kor, H., Badri Ghomizad, M. & Fukagata, K., 2017, In: Journal of Fluid Science and Technology. 12, 1

  研究成果: Article › 査読

  • Cylinder 100%
  • Interpolation 79%
  • Flow 60%
  • Geometry 56%
  • Boundary conditions 35%
  14 被引用数 (Scopus)

• Drag-reducing performance of obliquely aligned superhydrophobic surface in turbulent channel flow

  Watanabe, S., Mamori, H. & Fukagata, K., 2017 1月 17, In: Fluid Dynamics Research. 49, 2, 025501.

  研究成果: Article › 査読

  • Superhydrophobicity 100%
  • Drag reduction 90%
  • Channel flow 84%
  • channel flow 82%
  • drag reduction 72%
  8 被引用数 (Scopus)

• Drag reduction capability of uniform blowing in supersonic wall-bounded turbulent flows

  Kametani, Y., Kotake, A., Fukagata, K. & Tokugawa, N., 2017 12月, In: Physical Review Fluids. 2, 12, 123904.

  研究成果: Article › 査読

  • Mach Number 100%
  • Drag Reduction 93%
  • Drag reduction 66%
  • Turbulent Flow 65%
  • Blow molding 58%
  11 被引用数 (Scopus)

• Heat transfer in fully developed turbulent channel flow with streamwise traveling wave-like wall deformation

  Uchino, K., Mamori, H. & Fukagata, K., 2017, In: Journal of Thermal Science and Technology. 12, 1, JTST0003.

  研究成果: Article › 査読

  • Channel flow 100%
  • channel flow 96%
  • Heat Transfer 94%
  • traveling waves 86%
  • heat transfer 68%
  6 被引用数 (Scopus)

• Numerical simulation and sensitivity analysis of a low-Reynolds-number flow around a square cylinder controlled using plasma actuators

  Anzai, Y., Fukagata, K., Meliga, P., Boujo, E. & Gallaire, F., 2017 4月, In: Physical Review Fluids. 2, 4, 043901.

  研究成果: Article › 査読

  • Square Cylinder 100%
  • Low Reynolds number 82%
  • Simulation Analysis 78%
  • Actuator 75%
  • Plasma 63%
  12 被引用数 (Scopus)

• Towards a theoretical model of heat transfer for hot-wire anemometry close to solid walls

  Ikeya, Y., Örlü, R., Fukagata, K. & Alfredsson, P. H., 2017 12月, In: International Journal of Heat and Fluid Flow. 68, p. 248-256 9 p.

  研究成果: Article › 査読

  • Heat Transfer 100%
  • velocity measurement 92%
  • heat transfer 72%
  • Wire 69%
  • wire 69%
  15 被引用数 (Scopus)

• Turbulent Drag Reduction by Uniform Blowing Over a Two-dimensional Roughness

  Mori, E., Quadrio, M. & Fukagata, K., 2017 12月 1, In: Flow, Turbulence and Combustion. 99, 3-4, p. 765-785 21 p.

  研究成果: Article › 査読

  • Reynolds Number 100%
  • drag reduction 93%
  • Drag reduction 88%
  • blowing 87%
  • Blow molding 78%
  7 被引用数 (Scopus)
• 2016

  A Linearized k- ϵ Model of Forest Canopies and Clearings

  Segalini, A., Nakamura, T. & Fukagata, K., 2016 12月 1, In: Boundary-Layer Meteorology. 161, 3, p. 439-460 22 p.

  研究成果: Article › 査読

  • forest canopy 100%
  • leaf area index 36%
  • nonlinearity 34%
  • kinetic energy 33%
  • canopy 28%
  6 被引用数 (Scopus)

• Drag reduction in spatially developing turbulent boundary layers by spatially intermittent blowing at constant mass-flux

  Kametani, Y., Fukagata, K., Örlü, R. & Schlatter, P., 2016 10月 2, In: Journal of Turbulence. 17, 10, p. 913-929 17 p.

  研究成果: Article › 査読

  • Drag Reduction 100%
  • Turbulent Boundary Layer 90%
  • Mass flux 88%
  • drag reduction 74%
  • Drag reduction 70%
  9 被引用数 (Scopus)
• 2015

  Effect of uniform blowing/suction in a turbulent boundary layer at moderate Reynolds number

  Kametani, Y., Fukagata, K., Örlü, R. & Schlatter, P., 2015 10月 1, In: International Journal of Heat and Fluid Flow. 55, p. 132-142 11 p.

  研究成果: Article › 査読

  • Reynolds Number 100%
  • blowing 87%
  • suction 80%
  • Blow molding 78%
  • turbulent boundary layer 78%
  66 被引用数 (Scopus)

• Effects of wall temperature on skin-friction measurements by oil-film interferometry

  Bottini, H., Kurita, M., Iijima, H. & Fukagata, K., 2015 8月 26, In: Measurement Science and Technology. 26, 10, 105301.

  研究成果: Article › 査読

  • Interferometry 100%
  • friction measurement 82%
  • Skin Friction 79%
  • skin friction 69%
  • wall temperature 69%
  10 被引用数 (Scopus)
• 2014

  A basic study on aerodynamic noise reduction techniques for a pantograph head using plasma actuators

  Mitsumoji, T., Sato, Y., Ikeda, M., Sueki, T. & Fukagata, K., 2014 8月 1, In: Quarterly Report of RTRI (Railway Technical Research Institute). 55, 3, p. 184-189 6 p.

  研究成果: Article › 査読

  Open Access

  • Pantographs 100%
  • Noise abatement 75%
  • Plasmas 67%
  • Aerodynamics 58%
  • Actuators 55%
  10 被引用数 (Scopus)

• Active control of vortex shedding: An explanation of the gain window

  Illingworth, S. J., Naito, H. & Fukagata, K., 2014 10月 21, In: Physical Review E - Statistical, Nonlinear, and Soft Matter Physics. 90, 4, 043014.

  研究成果: Article › 査読

  • Vortex Shedding 100%
  • Active Control 86%
  • vortex shedding 74%
  • active control 72%
  • Wake 23%
  16 被引用数 (Scopus)

• Aerodynamic noise reduction of a pantograph panhead by applying a flow control method

  Mitsumoji, T., Sueki, T., Yamazaki, N., Sato, Y., Ikeda, M., Takinami, R., Gejima, H. & Fukagata, K., 2014, In: Notes on Numerical Fluid Mechanics and Multidisciplinary Design. 126, p. 515-522 8 p.

  研究成果: Article › 査読

  • Pantographs 100%
  • Noise abatement 75%
  • Flow control 70%
  • Aerodynamics 58%
  • Plasmas 33%
  7 被引用数 (Scopus)