Hybrid Data-Driven Closure Strategies for Reduced Order Modeling

  title={Hybrid Data-Driven Closure Strategies for Reduced Order Modeling},
  author={Anna Ivagnes and Giovanni Stabile and Andrea Mola and Traian Iliescu and Gianluigi Rozza},
  journal={Appl. Math. Comput.},
In this paper, we propose hybrid data-driven ROM closures for fluid flows. These new ROM closures combine two fundamentally different strategies: (i) purely data-driven ROM closures, both for the velocity and the pressure; and (ii) physically based, eddy viscosity data-driven closures, which model the energy transfer in the system. The first strategy consists in the addition of closure/correction terms to the governing equations, which are built from the available data. The second strategy… 

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