collaborators

8 papers

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…

cs.RO2026

Olfactory pursuit: catching a moving odor source in complex flows

Maurizio Carbone, Lorenzo Piro, Robin A. Heinonen +3

Locating and intercepting a moving target from possibly delayed, intermittent sensory signals is a paradigmatic problem in decision-making under uncertainty, and a fundamental chal…

physics.flu-dyn2026

Multi-Scale Data Assimilation in Turbulent Models

Francesco Fossella, Luca Biferale, Alberto Carrassi +2

We explore the potential of Data-Assimilation (DA) within the multi-scale framework of a shell model of turbulence, with a focus on the Ensemble Kalman Filter (EnKF). The central o…

physics.flu-dyn2025

TURB-Scalar. A large database of passive scalar fields advected by 2D Navier-Stokes in the turbulent inverse cascade regime

Chiara Calascibetta, Luca Biferale, Fabio Bonaccorso +1

We introduce TURB-Scalar, an open-access database comprising approximately uncorrelated snapshots of two-dimensional turbulent velocity and passive scalar fields, obtained fr…

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

Hidden symmetry in passive scalar advected by 2D Navier-Stokes turbulence

Chiara Calascibetta, Luca Biferale, Fabio Bonaccorso +2

Here we show that passive scalars possess a hidden scaling symmetry when considering suitably rescaled fields. Such a symmetry implies (i) universal probability distribution for sc…