Masaki Morimoto

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

Masaki Morimoto, Kai Fukami, Kai Zhang et al. · Theoretical and Computational Fluid Dynamics · 2021 · 123 citations · Full text

Fluid Flow Analysis, Effective Metamodeling, Convolutional Neural Network +8

Experimental velocity data estimation for imperfect particle images using machine learning

Masaki Morimoto, Kai Fukami, Koji Fukagata · Physics of Fluids · 2021 · 92 citations · Full text

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

Kai Fukami, Kazuto Hasegawa, Taichi Nakamura et al. · arXiv (Cornell University) · 2020 · 70 citations · Full text

Assessments of epistemic uncertainty using Gaussian stochastic weight averaging for fluid-flow regression

Masaki Morimoto, Kai Fukami, Romit Maulik et al. · Physica D Nonlinear Phenomena · 2022 · 39 citations · Full text

Uncertainty Management, Engineering, Gaussian Stochastic Weight +10

Inserting machine-learned virtual wall velocity for large-eddy simulation of turbulent channel flows

Naoki Moriya, Kai Fukami, Yusuke Nabae et al. · arXiv (Cornell University) · 2021 · 15 citations · Full text

Aeroacoustics, Convolutional Neural Network, Engineering +21