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.
For clarity, it is defined as ∇(n) = ∇(n) α1...αn = ∂ ∂xa1
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
physics.comp-ph 1years
2024 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
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.