collaborators

20 papers

physics.flu-dyn2026

Drift of interfaces in forced stably-stratified turbulence and the role of vertically-sheared helical structures

Niccolò Cocciaglia, Luca Biferale, Fabio Bonaccorso +1

Experimental investigations of forced stably stratified turbulence (SST) have shown that the step-like density profile, made of well-mixed density layers and sharp interfaces alter…

physics.flu-dyn2026

Gappy Reconstruction of Bubbly Flows by Guided Diffusion Models

Hridey Narula, Tianyi Li, Michele Buzzicotti +2

Experiments in multiphase flows are often limited in their ability to simultaneously obtain velocity measurements in different phases. At the same time, flow reconstruction from ph…

physics.flu-dyn2026

Stochastic Multiscale Reconstruction of Lagrangian Turbulence via Guided Diffusion Models

Conghui Wang, Tianyi Li, Luca Biferale +3

Lagrangian turbulence is characterized by intermittent, fat-tailed fluctuations and nontrivial correlations across temporal scales, making a quantitative description of its full mu…

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

Turbulent pair dispersion with Stochastic Generative Diffusion Models

Andrei Pantea, Luca Biferale, Michele Buzzicotti +3

Recent advances in data-driven modeling have shown that diffusion models can successfully generate synthetic Lagrangian trajectories in turbulent flows. Building on this progress,…

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…