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PICS Colloquium: “Wall-models of turbulent flows via scientific multi-agent reinforcement learning” with Jane Bae
PICS Colloquium: “Wall-models of turbulent flows via scientific multi-agent reinforcement learning” with Jane Bae
Speaker: Jane Bae, Assistant Professor of Aerospace at Caltech Abstract: The predictive capabilities of turbulent flow simulations, critical for aerodynamic design and weather prediction, hinge on the choice of turbulence models. The abundance of data from experiments and simulations and the advent of machine learning have provided a boost to turbulence modeling efforts. However, simulations […]
