Convolutional neural network and long short-term memory based reduced order surrogate for minimal turbulent channel flow

Taichi Nakamura, Kai Fukami, Kazuto Hasegawa +2

We investigate the applicability of machine learning based reduced order model (ML-ROM) to three-dimensional complex flows. As an example, we consider a turbulent channel flow at t…