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physics.flu-dyn2026
Learning turbulent transport via Mori--Zwanzig graph neural networks
André Freitas, Xander M. de Wit, Alessandro Gabbana +4
We introduce a Mori--Zwanzig graph neural network (MZ--GNN) framework for learning reduced-order Lagrangian dynamics of tracer particles in homogeneous isotropic turbulence. The mo…
physics.flu-dyn2026
On the importance of stochasticity in closures of turbulence
André Freitas, Luca Biferale, Mathieu Desbrun +3
Deterministic closures for coarse-grained turbulence models help reproduce mean statistics, but often fail to capture the finite-time growth of uncertainty. Using the framework of…