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Direct numerical simulation (DNS) data for 2D forced homogeneous isotropic turbulence (FHIT) and 2D Rayleigh-Benard Convection (RBC). This data is used to discover subgrid-scale (SGS) closures for momentum and heat fluxes. Paper: "Learning Closed-Form Equations for Subgrid-Scale Closures From High-Fidelity Data: Promises and Challenges" https://doi.org/10.1029/2023MS003874
Gradient Model, Equation Discovery, machine learning, Subgrid-scale closure, Large Eddy Simulation
Gradient Model, Equation Discovery, machine learning, Subgrid-scale closure, Large Eddy Simulation
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