Research project
Divergence-consistent closure models
Filtering the discrete equations instead of the continuous ones removes the commutator errors that plague classical LES theory. A face-averaging filter keeps the coarse velocity field exactly divergence-free, avoids pressure-related instabilities, and makes cheap a-priori training sufficient for stable neural LES.
Paper
Talk
Discretize first, filter next: Learning divergence-consistent closure models for large-eddy simulation