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

91 citations

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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…

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…