56 citations · 165 across the 22 of their papers we have counts for
3 papers · 1 filter
Generation of Turbulent States using Physics-Informed Neural Networks
Sofia Angriman, Pablo Cobelli, Pablo Mininni +2
When modelling turbulent flows, it is often the case that information on the forcing terms or the boundary conditions is either not available or overly complicated and expensive to…
Clustering in laboratory and numerical turbulent swirling flows
Sofía Angriman, Amélie Ferran, Florencia Zapata +3
We study the three-dimensional clustering of velocity stagnation points, of nulls of the vorticity and of the Lagrangian acceleration, and of inertial particles in turbulent flows…
Multi-time structure functions and the Lagrangian scaling of turbulence
Sofía Angriman, Pablo D. Mininni, Pablo J. Cobelli
We define and characterize multi-time Lagrangian structure functions using data stemming from two swirling flows with mean flow and turbulent fluctuations: A Taylor-Green numerical…