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Armando Babiano

Researcher at École Normale Supérieure

Publications -  21
Citations -  1220

Armando Babiano is an academic researcher from École Normale Supérieure. The author has contributed to research in topics: Turbulence & Vorticity. The author has an hindex of 14, co-authored 21 publications receiving 1182 citations. Previous affiliations of Armando Babiano include Centre national de la recherche scientifique.

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Dynamics of a small neutrally buoyant sphere in a fluid and targeting in Hamiltonian systems.

TL;DR: It is shown that, even in the most favorable case, the motion of a small spherical tracer suspended in a fluid of the same density may differ from the corresponding motion of an ideal passive particle.
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Elementary topology of two-dimensional turbulence from a Lagrangian viewpoint and single-particle dispersion

TL;DR: In this paper, a series of numerical experiments on the dispersion of neutrally buoyant particles in two-dimensional turbulent flows is presented. And the authors show that some of the characteristic structural domains of 2D turbulent flows, namely coherent structures and circulation cells, generate particle traps and peculiar accelerations which induce several complex properties of the particle dispersion processes at intermediate times.
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Forming Planetesimals in Vortices

TL;DR: In this article, the authors explore the possibility that large-scale, quasi-two-dimensional vortices on the solar nebula act as trapping regions for dust particles and propose a simple self-similar solution for the vortex pattern.
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Vorticity and passive-scalar dynamics in two-dimensional turbulence

TL;DR: In this article, the dynamics of vorticity in two-dimensional turbulence are studied by means of semi-direct numerical simulations, in parallel with passive-scalar dynamics.
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Parameterization of dispersion in two-dimensional turbulence

TL;DR: In this article, the authors investigate the performance of standard stochastic models of single-particle dispersion in two-dimensional turbulence and introduce a family of two-process models that provide a better parameterization of turbulent dispersion for rotating barotropic flows.