most citedMachine learning strategies for path-planning microswimmers in turbulent flows

91 citations

8 papers

physics.flu-dyn2022★ 59 cited

Particle resuspension: challenges and perspectives for future models

Christophe Henry, Jean-Pierre Minier, Sara Brambilla

The purpose of this review is to analyze the physics at play in particle resuspension in order to bring insights into the rich complexity of this common but challenging concern. Fo…

physics.flu-dyn2022★ 9 cited

Lagrangian stochastic model for the orientation of inertialess spheroidal particles in turbulent flows: an efficient numerical method for CFD approach

Lorenzo Campana, Mireille Bossy, Christophe Henry

In this work, we propose a model for the orientation of inertialess spheroidal particles suspended in turbulent flows. This model consists in a stochastic version of the Jeffery eq…

astro-ph.EP2022★ 6 cited

Clusters of heavy particles in two-dimensional Keplerian turbulence

Fabiola Antonietta Gerosa, Héloïse Meheut, Jérémie Bec

Protoplanetary disks are gaseous systems in Keplerian rotation around young stars, known to be turbulent. They include a small fraction of dust from which planets form. In the incr…

cond-mat.soft2022

Stochastic model for the alignment and tumbling of rigid fibres in two-dimensional turbulent shear flow

Lorenzo Campana, Mireille Bossy, Jeremie Bec

Non-spherical particles transported by an anisotropic turbulent flow preferentially align with the mean shear and intermittently tumble when the local strain fluctuates. Such an in…

cond-mat.soft2019★ 19 cited

Optimal Actuation of Flagellar Magnetic Micro-Swimmers

Yacine El Alaoui-Faris, Jean-Baptiste Pomet, Stéphane Régnier +1

We present an automated procedure for the design of optimal actuation for flagellar magnetic microswimmers based on numerical optimization. Using this method, a new magnetic actuat…

physics.flu-dyn2019★ 91 cited

Machine learning strategies for path-planning microswimmers in turbulent flows

Jaya Kumar Alageshan, Akhilesh Kumar Verma, Jérémie Bec +1

We develop an adversarial-reinforcement learning scheme for microswimmers in statistically homogeneous and isotropic turbulent fluid flows, in both two (2D) and three dimensions (3…

math.OC2019★ 4 cited

Necessary conditions for local controllability of a particular class of systems with two scalar controls

Laetitia Giraldi, Pierre Lissy, Clément Moreau +1

We consider affine control systems with two scalar controls, such that one control vector field vanishes at an equilibrium state. We state two necessary conditions of local control…

cond-mat.stat-mech2019★ 8 cited

Fractal catastrophes

J. Meibohm, K. Gustavsson, J. Bec +1

We analyse the spatial inhomogeneities ('spatial clustering') in the distribution of particles accelerated by a force that changes randomly in space and time. To quantify spatial c…