Graph Neural Network Reduced-order Models For Multiphase CFD: Fluidized Bed And Hydraulic Fracturing Applications
This work presents a Graph Neural Network (GNN)–based Reduced Order Modeling (ROM) framework for Barracuda that achieves approximately 80–105× speedup for transient and time-averaged field predictions, respectively, and up to three orders of magnitude speedup for isolated snapshot queries, while preserving predictive accuracy
