Guided diffusion models conditioned on wavelet-coarse-grained Lagrangian trajectories reconstruct the non-Gaussian intermittent statistics of unresolved small scales in homogeneous isotropic turbulence at Re_λ ≈ 310.
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Diffusion models generate joint pairs of Lagrangian trajectories that reproduce turbulent pair separation statistics, including deviations from Richardson scaling, while preserving single-particle properties.
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Stochastic Multiscale Reconstruction of Lagrangian Turbulence via Guided Diffusion Models
Guided diffusion models conditioned on wavelet-coarse-grained Lagrangian trajectories reconstruct the non-Gaussian intermittent statistics of unresolved small scales in homogeneous isotropic turbulence at Re_λ ≈ 310.
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Turbulent pair dispersion with Stochastic Generative Diffusion Models
Diffusion models generate joint pairs of Lagrangian trajectories that reproduce turbulent pair separation statistics, including deviations from Richardson scaling, while preserving single-particle properties.