2 papers
physics.flu-dyn2020
Machine-learning-based reduced order modeling for unsteady flows around bluff bodies of various shapes
Kazuto Hasegawa, Kai Fukami, Takaaki Murata +1
We propose a method to construct a reduced order model with machine learning for unsteady flows. The present machine-learned reduced order model (ML-ROM) is constructed by combinin…
physics.comp-ph2019
Nonlinear mode decomposition with convolutional neural networks for fluid dynamics
Takaaki Murata, Kai Fukami, Koji Fukagata
We present a new nonlinear mode decomposition method to visualize the decomposed flow fields, named the mode decomposing convolutional neural network autoencoder (MD-CNN-AE). The p…