30 citations · 63 across the 12 of their papers we have counts for
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physics.flu-dyn2024★ 3 cited
Active grid turbulence anomalies through the lens of physics informed neural networks
Sofía Angriman, Sarah E. Smith, Patricio Clark di Leoni +3
Active grids operated with random protocols are a standard way to generate large Reynolds number turbulence in wind and water tunnels. But anomalies in the decay and third-order sc…
physics.flu-dyn2024
Turbulence unsteadiness drives extreme clustering
Florencia Zapata, Sofía Angriman, Amélie Ferran +3
We show that the unsteadiness of turbulence has a drastic effect on turbulence parameters and in particle cluster formation. To this end we use direct numerical simulations of part…