Characterizing the Reynolds number dependence of the chaotic attractor in two-dimensional turbulence with dimension-minimizing autoencoders
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Deep autoencoder neural networks can generate highly accurate, low-order representations of turbulence. We design a family of autoencoders which are a combination of a "dense-block" encoder-decoder structure [Page et al., J. Fluid Mech. 991, A10 (2024)0022-1... ...
