collaborators

11 papers

physics.flu-dyn2026

Perturbative anomalous exponents from Kolmogorov multipliers

Alexei A. Mailybaev, Simon Thalabard

We introduce a perturbative framework for anomalous scaling in turbulent transport based on multiplier statistics, rather than zero-mode calculations. We illustrate the approach us…

nlin.CD2026

RG theory of spontaneous stochasticity for Sabra model of turbulence

Alexei A. Mailybaev

We consider fluctuating Sabra models of turbulence, which exhibit the phenomenon of spontaneous stochasticity: their solutions converge to a stochastic process in the ideal limit,…

nlin.CD2026

Renormalization-group perspective on spontaneous stochasticity

Alexei A. Mailybaev, Luca Moriconi

We present a renormalization-group perspective on spontaneous stochasticity in hydrodynamic turbulence, viewed through the lens of multiscale dynamical systems. Building on previou…

physics.flu-dyn2026

On the importance of stochasticity in closures of turbulence

André Freitas, Luca Biferale, Mathieu Desbrun +3

Deterministic closures for coarse-grained turbulence models help reproduce mean statistics, but often fail to capture the finite-time growth of uncertainty. Using the framework of…

physics.flu-dyn2025

Spontaneous stochasticity in the fluctuating Navier-Stokes equations on a logarithmic lattice

Erika Ortiz, Ciro S. Campolina, Alexei A. Mailybaev

The predictability of turbulent flows remains a challenging problem for mathematicians, physicists, and meteorologists. In this context, we consider the 3D incompressible Navier-St…

math.AP2025

RG approach to the inviscid limit for shell models of turbulence

Alexei A. Mailybaev

We consider an initial value problem for shell models that mimic turbulent velocity fluctuations over a geometric sequence of scales. Our goal is to study the convergence of soluti…