most citedGeneration of Turbulent States using Physics-Informed Neural Networks

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physics.flu-dyn2022★ 2 cited

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…

physics.flu-dyn2019

Velocity and acceleration statistics in particle-laden turbulent swirling flows

Sofía Angriman, Pablo D. Mininni, Pablo J. Cobelli

We present a comparison of different particles' velocity and acceleration statistics in two paradigmatic turbulent swirling flows: the von Kármán flow in a laboratory experiment, a…