44 citations · 44 across the 5 of their papers we have counts for
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physics.flu-dyn2019
Unsupervised Machine Learning to Teach Fluid Dynamicists to Think in 15 Dimensions
S. M. de Bruyn Kops, D. J. Saunders, E. A. Rietman +1
An autoencoder is used to compress and then reconstruct three-dimensional stratified turbulence data in order to better understand fluid dynamics by studying the errors in the reco…
physics.flu-dyn2019★ 44 cited
Asymptotic dynamics of high dynamic range stratified turbulence
G. D. Portwood, S. M. de Bruyn Kops, C. P. Caulfield
Direct numerical simulations of homogeneous sheared and stably stratified turbulence are considered to probe the asymptotic high-dynamic range regime suggested by Gargett et al. 19…