DL-ROM

This code is developed for academic purposes under the ongoing research of implementing Machine Learning algorithms for non-intrusive model order reduction of transport processes in non-linear dynamics.

Note: This code is under development and constant monitoring

References

1. POD-DL-ROM: enhancing deep learning-based reduced order models for nonlinear parametrized PDEs by proper orthogonal decomposition , Stefania Fresca and Andrea Manzoni
2. A comprehensive deep learning-based approach to reduced order modeling of nonlinear time-dependent parametrized PDEs , Stefania Fresca, Luca Dede, Andrea Manzoni