A Shortcut to Statistically Steady-State Turbulence with Flow Matching
Many nonlinear physical systems exhibit an initial transient phase in which perturbations grow before nonlinear interactions lead to a statistically steady state. While this saturated regime is of primary interest, direct numerical simulations must resolve the full transient dynamics before reaching it, incurring significant computational cost. In Computational Fluid Dynamics, reduced-order approaches such as Large Eddy Simulation mitigate computational cost by modeling small-scale dynamics, enabling tractable approximations of turbulent flows. In contrast, for systems such as gyrokinetics, co
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- LinkedLinked via arxiv author · 85%Gianluca Galletti →
“A Shortcut to Statistically Steady-State Turbulence with Flow Matching”
- LinkedLinked via arxiv author · 85%Gerald Gutenbrunner →
“A Shortcut to Statistically Steady-State Turbulence with Flow Matching”
- LinkedLinked via arxiv author · 85%William Hornsby →
“A Shortcut to Statistically Steady-State Turbulence with Flow Matching”
- LinkedLinked via arxiv author · 85%Lorenzo Zanisi →
“A Shortcut to Statistically Steady-State Turbulence with Flow Matching”
- LinkedLinked via arxiv author · 85%Naomi Carey →
“A Shortcut to Statistically Steady-State Turbulence with Flow Matching”
- LinkedLinked via arxiv author · 85%Stanislas Pamela →
“A Shortcut to Statistically Steady-State Turbulence with Flow Matching”
- LinkedLinked via arxiv author · 85%Johannes Brandstetter →
“A Shortcut to Statistically Steady-State Turbulence with Flow Matching”
- LinkedLinked via arxiv author · 85%Fabian Paischer →
“A Shortcut to Statistically Steady-State Turbulence with Flow Matching”