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.
Neural network-based modelling of unresolved stresses in a turbulent reacting flow with mean shear
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
physics.flu-dyn 1years
2019 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
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.