288 citations · 1.1k across the 43 of their papers we have counts for
18 papers · 1 filter
Physics-informed data-driven inference of an interpretable equivariant LES model of incompressible fluid turbulence
Matteo Ugliotti, Brandon Choi, Mateo Reynoso +2
Restrictive phenomenological assumptions represent a major roadblock for the development of accurate subgrid-scale models of fluid turbulence. Specifically, these assumptions limit…
Data-driven modeling of multiscale phenomena with applications to fluid turbulence
Brandon Choi, Matteo Ugliotti, Mateo Reynoso +2
This paper introduces a novel data driven framework for constructing accurate and general equivariant models of multiscale phenomena which does not rely on specific assumptions abo…
Self-similarity and the direct (enstrophy) cascade in two-dimensional fluid turbulence
Mateo Reynoso, Dmitriy Zhigunov, Roman O. Grigoriev
A widely used statistical theory of 2D turbulence developed by Kraichnan, Leith, and Batchelor (KLB) predicts a power-law scaling for the energy, with an integral…
Exact Coherent Structures in Fully Developed Two-Dimensional Turbulence
Dmitriy Zhigunov, Roman O. Grigoriev
This paper reports several new classes of weakly unstable recurrent solutions of the 2+1-dimensional Euler equation on a square domain with periodic boundary conditions. These solu…
Observing a Dynamical Skeleton of Turbulence in Taylor-Couette Flow Experiments
Christopher J. Crowley, Joshua L. Pughe-Sanford, Wesley Toler +2
Recent work suggests unstable recurrent solutions of the equations governing fluid flow can play an important role in structuring the dynamics of turbulence. Here we present a meth…
Data-driven detection of drifting system parameters
Logan M. Kageorge, Roman O. Grigoriev, Michael F. Schatz
Data taken from observations of the natural world or laboratory measurements often depend on parameters which can vary in unexpected ways. In this paper we demonstrate how machine…