119 citations · 446 across the 12 of their papers we have counts for
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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-dyn2022★ 17 cited
Reconstructing Rayleigh-Bénard flows out of temperature-only measurements using nudging
Lokahith Agasthya, Patricio Clark Di Leoni, Luca Biferale
Nudging is a data assimilation technique that has proved to be capable of reconstructing several highly turbulent flows from a set of partial spatiotemporal measurements. In this s…