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M. Carbone

7 papers hereh-index 213 citations9 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author3
  • middle author2
  • last author2

Across the 7 of 7 papers where every author was matched, so the position is known.

fields
  • physics.flu-dyn6
  • cs.RO1
same name
  • M. Carbone — 16 papers, h 5
  • M. Carbone — 9 papers, h 9
  • M. Carbone — 1 paper, h 40
  • M. Carbone — 1 paper, h 4
  • M. Carbone — 1 paper, h 3
  • M. Carbone — 1 paper, h 20

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20242026
most citedPolicy heterogeneity improves collective olfactory search in 3-D turbulence

2 citations · 2 across the 7 of their papers we have counts for

collaborators
Showing 2024Show all

3 papers · 1 filter

physics.flu-dyn2024

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…

physics.flu-dyn2024

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…

physics.flu-dyn2024

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…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.