45 citations · 45 across the 2 of their papers we have counts for
2 papers
physics.flu-dyn2026
A Hybrid Generative Reduced-Order Model for the Minimal Flow Unit
Niccolò Tonioni, Lionel Agostini, Marcial Sanchis-Agudo +4
A data-driven reduced-order modelling framework is proposed for wall-bounded turbulent flows to forecast the intermittent near-wall dynamics over extended time horizons from sparse…
physics.flu-dyn2021★ 45 cited
Assessments of epistemic uncertainty using Gaussian stochastic weight averaging for fluid-flow regression
Masaki Morimoto, Kai Fukami, Romit Maulik +2
We use Gaussian stochastic weight averaging (SWAG) to assess the model-form uncertainty associated with neural-network-based function approximation relevant to fluid flows. SWAG ap…