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math.NA2026
Machine-Learning-Enhanced Discretize-then-Project Reduced-Order Modeling of Turbulent Flows on Collocated Grids
Nadim Rooholamin, Kabir Bakhshaei, Giovanni Stabile
This study presents a hybrid reduced-order modeling (ROM) framework for incompressible flows on collocated finite-volume grids, combining a discretize-then-project consistent-flux…
math.NA2023
A reduced-order model for advection-dominated problems based on Radon Cumulative Distribution Transform
Tobias Long, Robert Barnett, Richard Jefferson-Loveday +2
Problems with dominant advection, discontinuities, travelling features, or shape variations are widespread in computational mechanics. However, classical linear model reduction and…