activity
20162026
most citedReconstructing velocity and pressure from sparse noisy particle tracks using Physics-Informed Neural Networks

59 citations · 127 across the 5 of their papers we have counts for

collaborators

6 papers

nlin.CD2026

A model for the dimension of the inertial manifold of the Kuramoto-Sivashinsky equation

Melisa Y. Vinograd, Patricio Clark di Leoni

We propose a model, based on a spectral energy balance argument, that provides an estimate of the dimension of the inertial manifold of the one-dimensional Kuramoto-Sivashinsky equ…

physics.flu-dyn2022★ 59 cited

Reconstructing velocity and pressure from sparse noisy particle tracks using Physics-Informed Neural Networks

Patricio Clark Di Leoni, Karuna Agarwal, Tamer Zaki +2

Volume-resolving imaging techniques are rapidly advancing progress in experimental fluid mechanics. However, reconstructing the full and structured Eulerian velocity and pressure f…

physics.flu-dyn2020★ 28 cited

Synchronizing subgrid scale models of turbulence to data

M. Buzzicotti, P. Clark Di Leoni

Large Eddy Simulations of turbulent flows are powerful tools used in many engineering and geophysical settings. Choosing the right value of the free parameters for their subgrid sc…

physics.flu-dyn2020★ 9 cited

Two-point stress-strain rate correlation structure and non-local eddy viscosity in turbulent flows

P. Clark Di Leoni, T. A. Zaki, G. Karniadakis +1

By analyzing the Karman-Howarth equation for filtered velocity fields in turbulent flows, we show that the two-point correlation between filtered strain-rate and subfilter stress t…

physics.flu-dyn2018★ 17 cited

On the inverse energy transfer in rotating turbulence

M. Buzzicotti, P. Clark Di Leoni, L. Biferale

Rotating turbulence is an example of a three-dimensional system in which an inverse cascade of energy, from the small to the large scales, can be formed. While usually understood a…

physics.flu-dyn2016★ 14 cited

Quantifying resonant and near-resonant interactions in rotating turbulence

P. Clark di Leoni, P. D. Mininni

Nonlinear triadic interactions are at the heart of our understanding of turbulence. In flows where waves are present modes must not only be in a triad to interact, but their freque…