Reduced-order modeling of unsteady fluid flow using neural network ensembles

Rakesh Halder, Mohammadmehdi Ataei, Hesam Salehipour +2

The use of deep learning has become increasingly popular in reduced-order models (ROMs) to obtain low-dimensional representations of full-order models. Convolutional autoencoders (…