Reduced-order modelling of parameterised incompressible and compressible unsteady flow problems using deep neural networks
(2021)
Journal Article
Sugar-Gabor, O. (2021). Reduced-order modelling of parameterised incompressible and compressible unsteady flow problems using deep neural networks. International Journal of Computer Applications in Technology, 66(1), 36-50. https://doi.org/10.1504/IJCAT.2021.119603
A non-intrusive reduced-order model for nonlinear parametric flow problems is developed. It is based on extracting a reduced-order basis from full-order snapshots via proper orthogonal decomposition and using both deep and shallow neural network a... Read More about Reduced-order modelling of parameterised incompressible and compressible unsteady flow problems using deep neural networks.