2 citations · 3 across the 4 of their papers we have counts for
3 papers · 1 filter
Offline Maximizing Minimally Invasive Proper Orthogonal Decomposition for Reduced Order Modeling of Radiation Transport
Quincy Huhn, Jean Ragusa, Youngsoo Choi
Deterministic solutions to the Sn transport equation can be computationally expensive to calculate. Reduced Order Models (ROMs) provide an efficient means of approximating the Full…
Scalable nonlinear manifold reduced order model for dynamical systems
Ivan Zanardi, Alejandro N. Diaz, Seung Whan Chung +2
The domain decomposition (DD) nonlinear-manifold reduced-order model (NM-ROM) represents a computationally efficient method for integrating underlying physics principles into a neu…
Nonlinear-manifold reduced order models with domain decomposition
Alejandro N. Diaz, Youngsoo Choi, Matthias Heinkenschloss
A nonlinear-manifold reduced order model (NM-ROM) is a great way of incorporating underlying physics principles into a neural network-based data-driven approach. We combine NM-ROMs…