Training of particle-turbulence sub-grid-scale closures with just particle data

G. Saltar Rivera, L. Villafane, J. B. Freund

If sufficient training data are available, neural networks are attractive for representing missing physics in simulations, such as sub-grid scales in the coarse-mesh particle-turbu…