Reynolds averaged turbulence modelling using deep neural networks with embedded invariance
Work
Year: 2016
Type: article
Abstract: There exists significant demand for improved Reynolds-averaged Navier–Stokes (RANS) turbulence models that are informed by and can represent a richer set of turbulence physics. This paper presents a m... more
Source: Journal of Fluid Mechanics
Cites: 29
Cited by: 1,323
Related to: 10
FWCI: 46.78
Citation percentile (by year/subfield): 92.18
Subfield: Computational Mechanics
Field: Engineering
Domain: Physical Sciences
Open Access status: green