2 citations · 2 across the 7 of their papers we have counts for
6 papers · 1 filter
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…
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…
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.…
Communities for the Lagrangian Dynamics of the Turbulent Velocity Gradient Tensor: A Network Participation Approach
Christopher J. Keylock, Maurizio Carbone
Complex network analysis methods have been widely applied to nonlinear systems, but applications within fluid mechanics are relatively few. In this paper, we use a network for the…
Complex network approach to the turbulent velocity gradient dynamics: High- and low-probability Lagrangian paths
Christopher J. Keylock, Maurizio Carbone
Understanding the dynamics of the turbulent velocity gradient tensor (VGT) is essential to gain insights into the Navier-Stokes equations and improve small-scale turbulence modelin…
Tailor-designed models for the turbulent velocity gradient through normalizing flow
Maurizio Carbone, Vincent J. Peterhans, Alexander S. Ecker +1
Small-scale turbulence can be comprehensively described in terms of velocity gradients, which makes them an appealing starting point for low-dimensional modeling. Typical models co…