activity
20072023
most citedInferring change points in the COVID-19 spreading reveals the effectiveness of interventions

943 citations · 2.1k across the 42 of their papers we have counts for

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Showing 2021Show all

7 papers · 1 filter

physics.flu-dyn2021

Are there higher-order Betchov homogeneity constraints for incompressible isotropic turbulence?

Maurizio Carbone, Michael Wilczek

Incompressible and statistically homogeneous flows obey exact kinematic relations. The Betchov homogeneity constraints (Betchov, J. Fluid Mech., vol. 1, 1956, pp. 497-504) for the…

cond-mat.soft2021★ 15 cited

The role of advective inertia in active nematic turbulence

Colin-Marius Koch, Michael Wilczek

Suspensions of active agents with nematic interactions exhibit complex spatio-temporal dynamics such as mesoscale turbulence. Since the Reynolds number of microscopic flows is very…

physics.flu-dyn2021★ 5 cited

A minimal phase-coupling model for intermittency in turbulent systems

José-Agustín Arguedas-Leiva, Enda Carroll, Luca Biferale +2

Turbulent systems exhibit a remarkable multi-scale complexity, in which spatial structures induce scale-dependent statistics with strong departures from Gaussianity. In Fourier spa…

physics.flu-dyn2021★ 15 cited

An Efficient Particle Tracking Algorithm for Large-Scale Parallel Pseudo-Spectral Simulations of Turbulence

Cristian C. Lalescu, Bérenger Bramas, Markus Rampp +1

Particle tracking in large-scale numerical simulations of turbulent flows presents one of the major bottlenecks in parallel performance and scaling efficiency. Here, we describe a…

physics.flu-dyn2021★ 21 cited

The statistical geometry of material loops in turbulence

Lukas Bentkamp, Theodore D. Drivas, Cristian C. Lalescu +1

Material elements - which are lines, surfaces, or volumes behaving as passive, non-diffusive markers - provide an inherently geometric window into the intricate dynamics of chaotic…

physics.flu-dyn2021★ 12 cited

Multi-level stochastic refinement for complex time series and fields: A Data-Driven Approach

M. Sinhuber, J. Friedrich, R. Grauer +1

Spatio-temporally extended nonlinear systems often exhibit a remarkable complexity in space and time. In many cases, extensive datasets of such systems are difficult to obtain, yet…