Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Navier–Stokes Equations01:28

Navier–Stokes Equations

2.1K
For incompressible Newtonian fluids, where density remains constant, stresses show a linear relationship with the deformation rate, defined by normal and shear stresses. Normal stresses depend on the pressure exerted on the fluid and the rate of deformation in specific directions, which determines how fluid flows under varying pressures. Shear stresses, on the other hand, act tangentially across fluid layers. They explain how adjacent fluid layers slide relative to one another, connecting...
2.1K
Newtonian Fluid: Problem Solving01:18

Newtonian Fluid: Problem Solving

850
Newtonian fluids exhibit a constant viscosity, meaning their shear stress and shear strain rate are directly proportional. This property ensures a predictable and stable response to applied forces, maintaining a linear relationship between force and flow. Examples include water, air, and light oils, consistently demonstrating this proportional behavior regardless of external conditions.
A velocity gradient forms within the fluid when a Newtonian fluid is placed between two parallel plates, with...
850
Euler's Equations of Motion01:28

Euler's Equations of Motion

895
In fluid mechanics, shear stresses arise from viscosity, which represents a fluid's internal resistance to deformation. For low-viscosity fluids, like water, these stresses are minimal, simplifying flow analysis by allowing the fluid to be treated as inviscid, or frictionless. In an inviscid fluid, shear stresses are absent, leaving only normal stresses, which act perpendicularly to fluid elements. Notably, pressure — defined as the negative of the normal stress — remains uniform across...
895
Steady, Laminar Flow Between Parallel Plates01:17

Steady, Laminar Flow Between Parallel Plates

778
Understanding steady, laminar flow between parallel plates is essential for analyzing and designing flow in narrow rectangular channels, commonly found in various water conveyance and drainage systems. The Navier-Stokes equations govern fluid motion and are generally challenging to solve due to their nonlinearity. However, simplifications are possible in certain cases, like the steady laminar flow between parallel plates. For this scenario, we assume steady, incompressible, laminar flow.
778
Couette Flow01:22

Couette Flow

914
Couette flow represents the flow of fluid between two parallel plates, with one plate fixed and the other moving with a constant velocity. This configuration allows for a simplified analysis using the Navier-Stokes equations, which govern fluid motion under conditions of viscosity and incompressibility. For Couette flow, the assumptions include a steady, laminar, incompressible flow with a zero-pressure gradient in the flow direction. This flow type is beneficial for understanding shear-driven...
914
Uniform Depth Channel Flow01:27

Uniform Depth Channel Flow

524
Uniform depth channel flow keeps fluid depth consistent along channels such as irrigation canals. In natural channels, such as rivers, approximate uniform flow is often assumed. This condition occurs when the channel’s bottom slope matches the energy slope, balancing potential energy lost from gravity with head loss due to shear stress. This balance prevents depth changes along the channel length, resulting in a steady, uniform flow.Uniform flow in open channels with a constant cross-section...
524

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Hypernetworks induce stable hyperlocking.

Nature communications·2026
Same author

The implicit regularizing effect of stochastic resetting in deep learning analysis of anomalous diffusion.

Chaos (Woodbury, N.Y.)·2026
Same author

Community structure-regulation coupling reveals optimal information diffusion.

Nature communications·2026
Same author

Self-supervised reservoir computing with spatial-temporal encoding for identifying critical transitions.

Nature communications·2026
Same author

Modeling the influence of interactions on different variables in a turbulent thermoacoustic system.

Chaos (Woodbury, N.Y.)·2026
Same author

Stochastic resonance in higher-order networks driven by colored noise.

Chaos (Woodbury, N.Y.)·2026
Same journal

Exploring mechanisms for reversal of flow in tunicate hearts.

Chaos (Woodbury, N.Y.)·2026
Same journal

State estimation in spatiotemporal chaos via low-rank StatFEM.

Chaos (Woodbury, N.Y.)·2026
Same journal

Universal response functions in driven dissipative tunneling dynamics.

Chaos (Woodbury, N.Y.)·2026
Same journal

A network-based approach to characterize the dynamics of the coupling field of thermoacoustic oscillators in annular geometry.

Chaos (Woodbury, N.Y.)·2026
Same journal

Data-driven soliton manifold approximations for dark and bright waves: Some prototypical 1D case examples.

Chaos (Woodbury, N.Y.)·2026
Same journal

Gap junction architecture and synchronization clusters in the thalamic reticular nuclei.

Chaos (Woodbury, N.Y.)·2026
See all related articles

Related Experiment Video

Updated: Jan 13, 2026

The Diffusion of Passive Tracers in Laminar Shear Flow
08:01

The Diffusion of Passive Tracers in Laminar Shear Flow

Published on: May 1, 2018

9.0K

Shear-driven finite-velocity diffusion and its generalization.

Trifce Sandev1,2,3, Alexander Iomin4, Yang Tang5

  • 1Research Center for Computer Science and Information Technologies, Macedonian Academy of Sciences and Arts, Bul. Krste Misirkov 2, 1000 Skopje, Macedonia.

Chaos (Woodbury, N.Y.)
|January 12, 2026
PubMed
Summary
This summary is machine-generated.

This study analyzes finite-velocity diffusion, revealing a crossover in anomalous dynamics. Stochastic resetting leads to non-equilibrium states and saturated statistical moments.

More Related Videos

Visually Based Characterization of the Incipient Particle Motion in Regular Substrates: From Laminar to Turbulent Conditions
11:51

Visually Based Characterization of the Incipient Particle Motion in Regular Substrates: From Laminar to Turbulent Conditions

Published on: February 22, 2018

9.1K
An Analog Macroscopic Technique for Studying Molecular Hydrodynamic Processes in Dense Gases and Liquids
11:03

An Analog Macroscopic Technique for Studying Molecular Hydrodynamic Processes in Dense Gases and Liquids

Published on: December 4, 2017

9.0K

Related Experiment Videos

Last Updated: Jan 13, 2026

The Diffusion of Passive Tracers in Laminar Shear Flow
08:01

The Diffusion of Passive Tracers in Laminar Shear Flow

Published on: May 1, 2018

9.0K
Visually Based Characterization of the Incipient Particle Motion in Regular Substrates: From Laminar to Turbulent Conditions
11:51

Visually Based Characterization of the Incipient Particle Motion in Regular Substrates: From Laminar to Turbulent Conditions

Published on: February 22, 2018

9.1K
An Analog Macroscopic Technique for Studying Molecular Hydrodynamic Processes in Dense Gases and Liquids
11:03

An Analog Macroscopic Technique for Studying Molecular Hydrodynamic Processes in Dense Gases and Liquids

Published on: December 4, 2017

9.0K

Area of Science:

  • Physics
  • Statistical Mechanics
  • Non-equilibrium systems

Background:

  • Finite-velocity diffusion, both normal and anomalous, is crucial in various physical systems.
  • Macroscopic descriptions often involve telegrapher's or Cattaneo-like equations.

Purpose of the Study:

  • To analyze shear-driven finite-velocity diffusion dynamics.
  • To investigate the crossover behavior in anomalous diffusion.
  • To explore the impact of stochastic resetting on these systems.

Main Methods:

  • Analytical derivation of probability density functions and moments.
  • Examination of systems under stochastic resetting conditions.

Main Results:

  • The system exhibits a characteristic crossover from normal to anomalous diffusion.
  • Stochastic resetting drives the system towards non-equilibrium stationary states.
  • Key statistical moments (mean squared displacement, variance, skewness, kurtosis) saturate over time.

Conclusions:

  • Finite-velocity diffusion displays complex anomalous dynamics with a distinct crossover.
  • Stochastic resetting provides a mechanism to reach and maintain non-equilibrium steady states.
  • The saturation of statistical moments under resetting highlights the stabilization of the system's behavior.