activity
20192026
most citedOptimal navigation of microswimmers in complex and noisy environments

22 citations · 78 across the 13 of their papers we have counts for

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Showing physics.flu-dynShow all

7 papers · 1 filter

physics.flu-dyn2026

Learning Backward Transport for Source Localization

Maurizio Carbone, Lorenzo Piro

We address the problem of locating a chemical source in a flow. Based on the duality between the concentration field and Lagrangian tracer trajectories, we interpret concentration…

physics.flu-dyn2026

Smart strategies to navigate turbulent odor plumes reorienting to local wind

Lorenzo Piro, Maurizio Carbone, Luca Biferale +4

Olfactory search in turbulent environments is a sensorimotor problem that many animals solve with remarkable efficiency, yet replicating this ability in artificial systems is an en…

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-dyn2025

TURB-Smoke. A database of Lagrangian pollutants emitted from point-sources and dispersed in turbulent flows

Luca Biferale, Fabio Bonaccorso, Niccolò Cocciaglia +2

Identifying the location and characteristics of pollution sources in turbulent flows is challenging, especially for environmental monitoring and emergency response, due to sparse,…

physics.flu-dyn2025

Acceleration of Lagrangian Particles in Shell Models of Turbulence

Lorenzo Piro, Massimo Cencini, Roberto Benzi

Lagrangian acceleration has been investigated both experimentally and numerically in the past, and it has been shown to exhibit extreme fluctuations, which have been rationalized a…

physics.flu-dyn2025★ 2 cited

Policy heterogeneity improves collective olfactory search in 3-D turbulence

Lorenzo Piro, Robin A. Heinonen, Maurizio Carbone +2

We investigate the role of policy heterogeneity in enhancing the olfactory search capabilities of cooperative agent swarms operating in complex, real-world turbulent environments.…

physics.flu-dyn2024★ 8 cited

Many wrong models approach to localize an odor source in turbulence with static sensors

Lorenzo Piro, Robin A. Heinonen, Massimo Cencini +1

The problem of locating an odor source in turbulent flows is central to key applications such as environmental monitoring and disaster response. We address this challenge by design…