Data-driven modelling of nonlinear spatio-temporal fluid flows using a deep convolutional generative adversarial network (2020)

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.48550/arxiv.2004.00707

Publication URI: https://arxiv.org/abs/2004.00707

Type: Other