An autoencoder on 10^12-point stratified turbulence data identifies vertical velocity as a key marker for turbulence features via bleed-over in reconstruction errors.
Predictions of turbulent shear flows using deep neural networks
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Unsupervised Machine Learning to Teach Fluid Dynamicists to Think in 15 Dimensions
An autoencoder on 10^12-point stratified turbulence data identifies vertical velocity as a key marker for turbulence features via bleed-over in reconstruction errors.