- Article
Closure Learning for Nonlinear Model Reduction Using Deep Residual Neural Network
- Xuping Xie,
- Clayton Webster and
- Traian Iliescu
Developing accurate, efficient, and robust closure models is essential in the construction of reduced order models (ROMs) for realistic nonlinear systems, which generally require drastic ROM mode truncations. We propose a deep residual neural network...

