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…