336 citations · 2.8k across the 105 of their papers we have counts for
3 papers · 2 filters
Deep learning for turbulent channel flow
Rui Fang, David Sondak, Pavlos Protopapas +1
Turbulence modeling is a classical approach to address the multiscale nature of fluid turbulence. Instead of resolving all scales of motion, which is currently mathematically and n…
Jetting to dripping transition: critical aspect ratio in step emulsifiers
Andrea Montessori, Marco Lauricella, Elad Stolovicki +2
Fully three-dimensional, time-dependent, direct simulations of the non-ideal Navier-Stokes equations for a two-component fluid, shed light into the mechanism which inhibits droplet…
Discrete Boltzmann trans-scale modeling of high-speed compressible flows
Yanbiao Gan, Aiguo Xu, Guangcai Zhang +2
We present a general framework for constructing trans-scale \emph{discrete Boltzmann models} (DBMs) for high-speed compressible flows ranging from continuum to transition regime. T…