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Large eddy simulations of Arctic stratus clouds
Large eddy simulations of Arctic stratus clouds
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CFD-driven symbolic regression enhances RANS transition models
Researchers have developed a CFD-driven sparse symbolic regression framework to create more accurate and interpretable corrections for Reynolds-averaged Navier-Stokes (RANS) transition models. This new approach identifi…
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New ML-Augmented Ocean Boundary Layer Parameterization Developed
Researchers have developed NORi, a novel machine learning parameterization for ocean boundary layer turbulence. NORi integrates neural ordinary differential equations (NODEs) with a physics-based Richardson number closu…