From the 1 of 4 linked papers with an AI index.
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physics.flu-dyn2026
Learning Backward Transport for Source Localization
Maurizio Carbone, Lorenzo Piro
The paper introduces a backward‑transport approach, using Schrödinger bridge theory and Langevin dynamics, to infer the location of a chemical source from concentration measurement…
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-dyn2025
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.…