A neural network trained on density fluctuations learns generalized transport coefficients that reproduce Shakhov and DSMC spectra up to Knudsen number 10, extending spectral closure hydrodynamics beyond its critical wave number.
Karplus, Development of multiscale models for com- plex chemical systems: From h+ h 2 to biomolecules (no- bel lecture)., Angewandte Chemie International Edition 53(2014)
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Learning the Optimal Hydrodynamic Closure
A neural network trained on density fluctuations learns generalized transport coefficients that reproduce Shakhov and DSMC spectra up to Knudsen number 10, extending spectral closure hydrodynamics beyond its critical wave number.