most citedConvolutional neural networks for fluid flow analysis: toward effective metamodeling and low-dimensionalization

134 citations · 360 across the 3 of their papers we have counts for

collaborators

3 papers

physics.flu-dyn2021★ 134 cited

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

Masaki Morimoto, Kai Fukami, Kai Zhang +2

We focus on a convolutional neural network (CNN), which has recently been utilized for fluid flow analyses, from the perspective on the influence of various operations inside it by…

physics.flu-dyn2020★ 95 cited

Generalization techniques of neural networks for fluid flow estimation

Masaki Morimoto, Kai Fukami, Kai Zhang +1

We demonstrate several techniques to encourage practical uses of neural networks for fluid flow estimation. In the present paper, three perspectives which are remaining challenges…

physics.flu-dyn2020★ 131 cited

Sparse identification of nonlinear dynamics with low-dimensionalized flow representations

Kai Fukami, Takaaki Murata, Kai Zhang +1

We perform a sparse identification of nonlinear dynamics (SINDy) for low-dimensionalized complex flow phenomena. We first apply the SINDy with two regression methods, the threshold…