Reduced order modeling for flow and transport problems with Barlow Twins self-supervised learning

Teeratorn Kadeethum, Francesco Ballarin, Daniel O'Malley +3

We propose a unified data-driven reduced order model (ROM) that bridges the performance gap between linear and nonlinear manifold approaches. Deep learning ROM (DL-ROM) using deep-…