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Euler-Lagrange (EL) and Euler-Euler (EE) techniques have been widely employed for solving particle, droplet, and bubble-laden flows. Since flow around the individual particles is not resolved, the accuracy of the technique depends on the fidelity of the point-particle force laws used. The main focus of this talk is the use of emerging machine learning techniques along with physical insight into the averaging processes involved in the EL and EE techniques can yield closures that recover fully-resolved-like accuracy at orders of magnitude lower cost. Host: Duan Zhang |