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physics.flu-dyn2024★ 1 cited
Machine-Learned Closure of URANS for Stably Stratified Turbulence: Connecting Physical Timescales & Data Hyperparameters of Deep Time-Series Models
Muralikrishnan Gopalakrishnan Meena, Demetri Liousas, Andrew D. Simin +4
We develop time-series machine learning (ML) methods for closure modeling of the Unsteady Reynolds Averaged Navier Stokes (URANS) equations applied to stably stratified turbulence…
physics.flu-dyn2024
Asymptotic analysis of mixing in stratified turbulent flows, and the conditions for an inertial sub-range
Andrew D. Bragg, Stephen M. de Bruyn Kops
In an important study, Maffioli et al. (J. Fluid Mech., Vol. 794 , 2016) used a scaling analysis to predict that in the weakly stratified flow regime ( is the hori…