17 citations · 19 across the 2 of their papers we have counts for
2 papers
physics.flu-dyn2023★ 2 cited
Reconstructing Rayleigh-Benard flows out of temperature-only measurements using Physics-Informed Neural Networks
Patricio Clark Di Leoni, Lokahith Agasthya, Michele Buzzicotti +1
We investigate the capabilities of Physics-Informed Neural Networks (PINNs) to reconstruct turbulent Rayleigh-Benard flows using only temperature information. We perform a quantita…
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…