Parametric POD-Galerkin reduced-order models for turbulent flows are augmented with deep-operator-network closure terms that reintroduce discarded-mode contributions, improving pressure and velocity accuracy over the baseline.
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Data-driven Closure Strategies for Parametrized Reduced Order Models via Deep Operator Networks
Parametric POD-Galerkin reduced-order models for turbulent flows are augmented with deep-operator-network closure terms that reintroduce discarded-mode contributions, improving pressure and velocity accuracy over the baseline.