activity
20072026
most citedFlow Navigation by Smart Microswimmers via Reinforcement Learning

241 citations · 1.8k across the 51 of their papers we have counts for

collaborators

54 papers

physics.flu-dyn2026

Guided navigation in turbulence

Jingran Qiu, Kristian Gustavsson

Navigation in turbulence is challenging because local flow measurements provide limited information about favorable paths beyond the flow correlation scales. We investigate vertica…

physics.flu-dyn2026

Adaptive shape control for microswimmer navigation in turbulence

Jingran Qiu, Lorenzo Piro, Luca Biferale +3

Navigation in turbulent environments is a fundamental challenge for biological and artificial microswimmers. While most existing studies focus on adapting motility or steering, the…

physics.flu-dyn2024★ 7 cited

Short term vs. long term: optimization of microswimmer navigation on different time horizons

Navid Mousavi, Jingran Qiu, Lihao Zhao +2

We use reinforcement learning to find strategies that allow microswimmers in turbulence to avoid regions of large strain. This question is motivated by the hypothesis that swimming…

physics.flu-dyn2023★ 5 cited

Efficient survival strategy for zooplankton in turbulence

Navid Mousavi, Jingran Qiu, Bernhard Mehlig +2

Zooplankton in a quiescent environment can detect predators by hydrodynamic sensing, triggering powerful escape responses. Since turbulent strain tends to mask the hydrodynamic sig…

physics.flu-dyn2023★ 5 cited

Caustic formation in a non-Gaussian model for turbulent aerosols

J. Meibohm, L. Sundberg, B. Mehlig +1

Caustics in the dynamics of heavy particles in turbulence accelerate particle collisions. The rate at which these singularities form depends sensitively on the Stokes…

cond-mat.dis-nn2023★ 21 cited

Finite-time Lyapunov exponents of deep neural networks

L. Storm, H. Linander, J. Bec +2

We compute how small input perturbations affect the output of deep neural networks, exploring an analogy between deep networks and dynamical systems, where the growth or decay of l…