492 citations · 9.4k across the 216 of their papers we have counts for
13 papers · 2 filters
Finding Efficient Swimming Strategies in a Three Dimensional Chaotic Flow by Reinforcement Learning
K. Gustavsson, L. Biferale, A. Celani +1
We apply a reinforcement learning algorithm to show how smart particles can learn approximately optimal strategies to navigate in complex flows. In this paper we consider microswim…
Energy transfer in turbulence under rotation
Michele Buzzicotti, Hussein Aluie, Luca Biferale +1
It is known that rapidly rotating turbulent flows are characterized by the emergence of simultaneous upscale and downscale energy transfer. Indeed, both numerics and experiments sh…
Smart Inertial Particles
Simona Colabrese, Kristian Gustavsson, Antonio Celani +1
We performed a numerical study to train smart inertial particles to target specific flow regions with high vorticity through the use of reinforcement learning algorithms. The parti…
Lattice Boltzmann simulations of droplet dynamics in time-dependent flows
F. Milan, M. Sbragaglia, L. Biferale +1
We study the deformation and dynamics of droplets in time-dependent flows using 3D numerical simulations of two immiscible fluids based on the lattice Boltzmann model (LBM). Analyt…
Energy Cascade and Intermittency in Helically Decomposed Navier-Stokes Equations
Ganapati Sahoo, Luca Biferale
We study the nature of the triadic interactions in Fourier space for three-dimensional Navier-Stokes equations based on the helicity content of the participating modes. Using the t…
A closure theory for the split energy-helicity cascades in homogeneous isotropic homochiral turbulence
Antoine Briard, Luca Biferale, Thomas Gomez
We study the energy transfer properties of three dimensional homogeneous and isotropic turbulence where the non-linear transfer is altered in a way that helicity is made sign-defin…
Multiscale anisotropic fluctuations in sheared turbulence with multiple states
Kartik P. Iyer, Fabio Bonaccorso, Luca Biferale +1
We use high resolution direct numerical simulations to study the anisotropic contents of a turbulent, statistically homogeneous flow with random transitions among multiple energy c…
Time irreversibility and multifractality of power along single particle trajectories in turbulence
Massimo Cencini, Luca Biferale, Guido Boffetta +1
The irreversible turbulent energy cascade epitomizes strongly non-equilibrium systems. At the level of single fluid particles, time irreversibility is revealed by the asymmetry of…
Effect of filter type on the statistics of energy transfer between resolved and subfilter scales from a-priori analysis of direct numerical simulations of isotropic turbulence
M. Buzzicotti, M. Linkmann, H. Aluie +3
The effects of different filtering strategies on the statistical properties of the resolved-to-sub-filter scale (SFS) energy transfer are analyzed in forced homogeneous and isotrop…
From two-dimensional to three-dimensional turbulence through two-dimensional three-component flows
L. Biferale, M. Buzzicotti, M. Linkmann
The relevance of two-dimensional three-components (2D3C) flows goes well beyond their occurrence in nature, and a deeper understanding of their dynamics might be also helpful in or…
Lagrangian Statistics for Navier-Stokes Turbulence under Fourier-mode reduction: Fractal and Homogeneous Decimations
Michele Buzzicotti, Akshay Bhatnagar, Luca Biferale +2
We study small-scale and high-frequency turbulent fluctuations in three-dimensional flows under Fourier-mode reduction. The Navier-Stokes equations are evolved on a restricted set…
Flow Navigation by Smart Microswimmers via Reinforcement Learning
Simona Colabrese, Kristian Gustavsson, Antonio Celani +1
Smart active particles can acquire some limited knowledge of the fluid environment from simple mechanical cues and exert a control on their preferred steering direction. Their goal…
Optimal subgrid scheme for shell models of turbulence
Luca Biferale, Alexei A. Mailybaev, Giorgio Parisi
We discuss a theoretical framework to define an optimal sub-grid closure for shell models of turbulence. The closure is based on the ansatz that consecutive shell multipliers are s…