| Synthetic turbulent inflow generator using machine learning K Fukami, Y Nabae, K Kawai, K Fukagata Physical Review Fluids 4 (6), 064603, 2019 | 149 | 2019 |
| Convolutional neural network and long short-term memory based reduced order surrogate for minimal turbulent channel flow T Nakamura, K Fukami, K Hasegawa, Y Nabae, K Fukagata Physics of Fluids 33 (2), 2021 | 138 | 2021 |
| Inserting machine-learned virtual wall velocity for large-eddy simulation of turbulent channel flows N Moriya, K Fukami, Y Nabae, M Morimoto, T Nakamura, K Fukagata arXiv preprint arXiv:2106.09271, 2021 | 18 | 2021 |
| Prediction of drag reduction effect by streamwise traveling wave-like wall deformation in turbulent channel flow at practically high Reynolds numbers Y Nabae, K Kawai, K Fukagata International Journal of Heat and Fluid Flow 82, 108550, 2020 | 16 | 2020 |
| Bayesian optimization of traveling wave-like wall deformation for friction drag reduction in turbulent channel flow Y Nabae, K Fukagata Journal of Fluid Science and Technology 16 (4), JFST0024-JFST0024, 2021 | 6 | 2021 |
| Drag reduction effect of streamwise traveling wave-like wall deformation with spanwise displacement variation in turbulent channel flow Y Nabae, K Fukagata Flow, Turbulence and Combustion 109 (4), 1175-1194, 2022 | 3 | 2022 |
| Resolvent analysis of turbulent channel flow with manipulated mean velocity profile R Uekusa, A Kawagoe, Y Nabae, K Fukagata Journal of Fluid Science and Technology 15 (3), JFST0014-JFST0014, 2020 | 3 | 2020 |
| Numerical Modeling of Spark Path with Stretching and Short Circuit in Three-Dimensional Flow R Arai, Y Nabae, R Uekusa, H Murakami, K Fukagata SAE Technical Paper, 2021 | 2 | 2021 |
| Complex-network analysis of high-frequency combustion instability in a model single-element rocket engine combustor K Kawano, H Gotoda, Y Nabae, Y Ohmichi, S Matsuyama Journal of Fluid Mechanics 959, A1, 2023 | 1 | 2023 |
| Drag reduction effect by traveling wave-like wall deformation in turbulent channel flow Y Nabae PhD Thesis, Keio University, 2022 | 1 | 2022 |
| Extension of CNN-LSTM based reduced order surrogate for minimal turbulent channel flow T Nakamura, K Fukami, K Hasegawa, Y Nabae, K Fukagata arXiv e-prints, arXiv: 2010.13351, 2020 | 1 | 2020 |
| Theoretical and numerical analyses of turbulent plane Couette flow controlled using uniform blowing and suction Y Nabae, K Fukagata International Journal of Heat and Fluid Flow 106, 109286, 2024 | | 2024 |
| Short-term prediction of a propagating flame in a Hele-Shaw cell K Iizuka, Y Nabae, H Gotoda Bulletin of the American Physical Society, 2023 | | 2023 |
| Driving mechanism of spray combustion oscillations in a backward-facing step combustor from viewpoints of complex systems H Hashiba, Y Nabae, H Gotoda, J Nagao, R Kurose Bulletin of the American Physical Society, 2023 | | 2023 |
| Symbolic dynamics and nonlinear forecasting of a low-Reynolds-number turbulent channel flow Y Nabae, H MAMORI, S Fukuda, H Gotoda Bulletin of the American Physical Society, 2023 | | 2023 |
| Nonlinear dynamics of spray combustion oscillations in a back-step combustor K Kato, H Hashiba, Y Nabae, H Gotoda, J Nagao, R Kurose Bulletin of the American Physical Society, 2023 | | 2023 |
| Dynamic state of low-Reynolds-number turbulent channel flow H Mamori, Y Nabae, S Fukuda, H Gotoda Physical Review E 108 (2), 025105, 2023 | | 2023 |
| THEORETICAL AND NUMERICAL ANALYSES OF UNIFORM BLOWING AND SUCTION IN TURBULENT PLANE COUETTE FLOW Y Nabae, K Fukagata 12th International Symposium on Turbulence and Shear Flow Phenomena, TSFP 2022, 2022 | | 2022 |
| FEEDBACK CONTROL EFFECT IN TURBULENT CHANNEL FLOW WITH A BUMP BY MEANS OF DIRECT NUMERICAL SIMULATION Y Okochi, Y Nabae, K Fukagata 12th International Symposium on Turbulence and Shear Flow Phenomena, TSFP 2022, 2022 | | 2022 |
| ウェーブマシン状進行波制御による乱流摩擦抵抗低減効果のパラメータ依存性 難波江佑介， 深潟康二 ながれ: 日本流体力学会誌= Nagare: journal of Japan Society of Fluid …, 2020 | | 2020 |
Koji FukagataKeio University - Department of Mechanical EngineeringVerified email at mech.keio.ac.jp
