3 papers
physics.flu-dyn2019
Neural Network Models for the Anisotropic Reynolds Stress Tensor in Turbulent Channel Flow
Rui Fang, David Sondak, Pavlos Protopapas +1
Reynolds-averaged Navier-Stokes (RANS) equations are presently one of the most popular models for simulating turbulence. Performing RANS simulation requires additional modeling for…
physics.ins-det2019
A hybrid deep learning approach to vertexing
Rui Fang, Henry F Schreiner, Michael D Sokoloff +2
In the transition to Run 3 in 2021, LHCb will undergo a major luminosity upgrade, going from 1.1 to 5.6 expected visible Primary Vertices (PVs) per event, and will adopt a purely s…
physics.flu-dyn2018
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…