2 papers
cs.LG2026
Latent Dynamics Graph Convolutional Networks for model order reduction of parameterized time-dependent PDEs
Lorenzo Tomada, Federico Pichi, Gianluigi Rozza
Graph Neural Networks (GNNs) are emerging as powerful tools for nonlinear Model Order Reduction (MOR) of time-dependent parameterized Partial Differential Equations (PDEs). However…
math.NA2025
Sparse Identification for bifurcating phenomena in Computational Fluid Dynamics
Lorenzo Tomada, Moaad Khamlich, Federico Pichi +1
This work investigates model reduction techniques for nonlinear parameterized and time-dependent PDEs, specifically focusing on bifurcating phenomena in Computational Fluid Dynamic…