Koji Fukagata
Keio University
H-index: 40
Asia-Japan
Top articles of Koji Fukagata
Title | Journal | Author(s) | Publication Date |
---|---|---|---|
Theoretical and numerical analyses of turbulent plane Couette flow controlled using uniform blowing and suction | International Journal of Heat and Fluid Flow | Yusuke Nabae Koji Fukagata | 2024/4/1 |
Reconstructing Three-Dimensional Bluff Body Wake from Sectional Flow Fields with Convolutional Neural Networks | SN Computer Science | Mitsuaki Matsuo Kai Fukami Taichi Nakamura Masaki Morimoto Koji Fukagata | 2024/3/7 |
Turbulent drag reduction by streamwise traveling waves of wall-normal forcing | Koji Fukagata Kaoru Iwamoto Yosuke Hasegawa | 2024/1/19 | |
Machine-learned reduced order modeling toward an effective flow control framework | Bulletin of the American Physical Society | Hiroshi Omichi Takeru Ishize Koji Fukagata | 2023/11/20 |
Super-resolution analysis via machine learning: A survey for fluid flows | Kai Fukami Koji Fukagata Kunihiko Taira | 2023/8 | |
Development of reduced order modeling-based linear system extracting method for efficient data handling with a minimal nonlinearity | Bulletin of the American Physical Society | Takeru Ishize Koji Fukagata | 2023/11/20 |
A new perspective on skin-friction contributions in adverse-pressure-gradient turbulent boundary layers | International Journal of Heat and Fluid Flow | Marco Atzori Fermín Mallor Ramón Pozuelo Koji Fukagata Ricardo Vinuesa | 2023/6/1 |
Estimation of oscillation parameters of a circular cylinder from its downstream vorticity fields | Bulletin of the American Physical Society | Hikaru Chida Kai Zhang Koji Fukagata | 2023/11/20 |
機械学習による流れのはく離検出手法の構築 | 後藤陸, 石瀬健, 深潟康二 | 2023 | |
Semi-supervised machine learning model for Lagrangian state estimation | Bulletin of the American Physical Society | Reno Miura Koji Fukagata | 2023/11/20 |
DNS データを用いない機械学習による粒子画像流速測定法の信頼性向上 | ながれ: 日本流体力学会誌= Nagare: journal of Japan Society of Fluid Mechanics | 大道浩志, 千田晃, 石瀬健, 松尾光昭, 深潟康二 | 2023 |
Flow control by a hybrid use of machine learning and control theory | arXiv preprint arXiv:2311.08624 | Takeru Ishize Hiroshi Omichi Koji Fukagata | 2023/11/15 |
Machine learning based dimension reduction for a stable modeling of periodic flow phenomena | arXiv preprint arXiv:2311.08765 | Hiroshi Omichi Takeru Ishize Koji Fukagata | 2023/11/15 |
Reduced order modeling of fluid flows using convolutional neural networks | Journal of Fluid Science and Technology | Koji Fukagata | 2023 |
畳み込みニューラルネットワークを用いた流体場の低次元化と欠損情報推定 | 日本風工学会誌 | 深潟康二 | 2022 |
基礎的な流れ場に対する機械学習の応用 | 日本ガスタービン学会誌 | 深潟康二 | 2022 |
Identifying key differences between linear stochastic estimation and neural networks for fluid flow regressions | Scientific reports | Taichi Nakamura Kai Fukami Koji Fukagata | 2022/3/8 |
Assessments of epistemic uncertainty using Gaussian stochastic weight averaging for fluid-flow regression | Physica D: Nonlinear Phenomena | Masaki Morimoto Kai Fukami Romit Maulik Ricardo Vinuesa Koji Fukagata | 2022/11/15 |
Model-form uncertainty quantification in neural-network-based fluid-flow estimation | ながれ: 日本流体力学会誌= Nagare: journal of Japan Society of Fluid Mechanics | 森本将生, 深見開, 深潟康二 | 2022 |
Generalization techniques of neural networks for fluid flow estimation | Neural Computing and Applications | Masaki Morimoto Kai Fukami Kai Zhang Koji Fukagata | 2022/3 |