A group-invariant neural collision operator for lattice Boltzmann simulations is trained on forced turbulence DNS spectra and yields accurate, stable underresolved Taylor-Green vortex and cylinder flow predictions.
Turbulent flows
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Machine Learning Enhanced Collision Operator for the Lattice Boltzmann Method Based on Invariant Networks
A group-invariant neural collision operator for lattice Boltzmann simulations is trained on forced turbulence DNS spectra and yields accurate, stable underresolved Taylor-Green vortex and cylinder flow predictions.