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

Steady, Laminar Flow Between Parallel Plates01:17

Steady, Laminar Flow Between Parallel Plates

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.
Couette Flow01:22

Couette Flow

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...
Rapidly Varying Flow01:24

Rapidly Varying Flow

Rapidly varying flow (RVF) in open channels is characterized by abrupt changes in flow depth over a short distance, with the rate of depth change relative to distance often approaching unity. These flows are inherently complex due to their transient and multi-dimensional nature, making exact analysis difficult. However, approximate solutions using simplified models provide valuable insights into their behavior.Key Features of Rapidly Varying FlowRVF is commonly observed in scenarios involving...
Uniform Depth Channel Flow01:27

Uniform Depth Channel Flow

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...
Uniform Depth Channel Flow: Problem Solving01:18

Uniform Depth Channel Flow: Problem Solving

To calculate the flow rate for a trapezoidal channel, first, identify the bottom width, side slope, and flow depth of the channel. The cross-sectional area (A) corresponding to the depth of flow (y), channel bottom width (B), and side slope (θ) is determined by:Next, calculate the wetted perimeter, which includes the bottom width and the sloped side lengths in contact with the water. Using the values of the cross-sectional area and the wetted perimeter, determine the hydraulic radius by...
Steady Flow of a Fluid Stream01:27

Steady Flow of a Fluid Stream

Consider a control volume, such as a pipe with solid boundaries, through which fluid flows and changes direction due to the impulse exerted by the resulting force from the pipe walls. In steady flow, the mass of fluid entering the control volume at a given time, t, with velocity v1, is equal to the mass leaving after infinitesimal time dt, with velocity v2.
During this process, the momentum of the fluid within the control volume remains constant over the time interval dt. By applying the...

You might also read

Related Articles

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

Sort by
Same author

Anomalous collective diffusion in two-dimensional active particle systems.

Physical review. E·2025
Same author

Controlling the reverse thermodiffusion in dumbbell-shaped active particle systems.

Journal of physics. Condensed matter : an Institute of Physics journal·2025
Same author

Tumor proliferation and diffusion on percolation clusters.

Journal of biological physics·2016
Same author

Scaling dynamic response and destructive metabolism in an immunosurveillant anti-tumor system modulated by different external periodic interventions.

PloS one·2011
Same journal

Erratum: Low-dimensional model for adaptive networks of spiking neurons [Phys. Rev. E 111, 014422 (2025)].

Physical review. E·2026
Same journal

Disentangling the effects of many-body forces on depletion interactions.

Physical review. E·2026
Same journal

Charge transport and mode transition in dual-energy electron beam diodes.

Physical review. E·2026
Same journal

Optimization of multisite reactions in complex compartmentalized media.

Physical review. E·2026
Same journal

Origin of geometric cohesion in nonconvex granular materials: Interplay between interdigitation and rotational constraints enhancing frictional stability.

Physical review. E·2026
Same journal

Interaction of walkers with a standing Faraday wave.

Physical review. E·2026
See all related articles

Related Experiment Video

Updated: Jun 20, 2026

Fabrication, Operation and Flow Visualization in Surface-acoustic-wave-driven Acoustic-counterflow Microfluidics
12:26

Fabrication, Operation and Flow Visualization in Surface-acoustic-wave-driven Acoustic-counterflow Microfluidics

Published on: August 27, 2013

Autonomous behavior of active particles with visual perception in high-shear flow fields.

Yingling Peng1, Weirong Zhong1

  • 1Jinan University, Department of Physics, College of Physics & Optoelectronic Engineering, Guangzhou 510632, China.

Physical Review. E
|June 19, 2026
PubMed
Summary
This summary is machine-generated.

Active particles with visual and alignment abilities exhibit intelligent behavior in shear flows, self-organizing into upstream and downstream groups. This study reveals the physical mechanisms driving these collective dynamics in active matter systems.

More Related Videos

Chemotactic Response of Marine Micro-Organisms to Micro-Scale Nutrient Layers
22:38

Chemotactic Response of Marine Micro-Organisms to Micro-Scale Nutrient Layers

Published on: May 28, 2007

Simultaneous Measurement of Turbulence and Particle Kinematics Using Flow Imaging Techniques
10:53

Simultaneous Measurement of Turbulence and Particle Kinematics Using Flow Imaging Techniques

Published on: March 12, 2019

Related Experiment Videos

Last Updated: Jun 20, 2026

Fabrication, Operation and Flow Visualization in Surface-acoustic-wave-driven Acoustic-counterflow Microfluidics
12:26

Fabrication, Operation and Flow Visualization in Surface-acoustic-wave-driven Acoustic-counterflow Microfluidics

Published on: August 27, 2013

Chemotactic Response of Marine Micro-Organisms to Micro-Scale Nutrient Layers
22:38

Chemotactic Response of Marine Micro-Organisms to Micro-Scale Nutrient Layers

Published on: May 28, 2007

Simultaneous Measurement of Turbulence and Particle Kinematics Using Flow Imaging Techniques
10:53

Simultaneous Measurement of Turbulence and Particle Kinematics Using Flow Imaging Techniques

Published on: March 12, 2019

Area of Science:

  • Physics of active matter
  • Collective behavior of microswimmers
  • Non-equilibrium statistical mechanics

Background:

  • Active particles exhibit complex collective behaviors in fluid environments.
  • Understanding self-organization in active matter is crucial for designing microswimmer systems.
  • Flow fields significantly influence the dynamics of active particles.

Purpose of the Study:

  • To develop and investigate a system of active particles with visual perception and alignment.
  • To explore the collective behavior of these particles in various flow environments, particularly strong shear flows.
  • To elucidate the physical mechanisms underlying observed intelligent-like behaviors and autonomous particle choices.

Main Methods:

  • Development of an active particle system with visual perception and alignment capabilities.
  • Simulation of particle behavior in different flow environments, including strong shear flows.
  • Application of nonequilibrium molecular dynamics simulations and statistical analysis.
  • Introduction of maximizing downstream flux efficiency to identify underlying physical mechanisms.

Main Results:

  • Observed intelligent-like behavior in strong shear flows: particles split into upstream and downstream groups.
  • Identified autonomous particle choices driven by maximizing downstream flux efficiency.
  • Established relationships between unusual behaviors and order parameters like dynamical entropy, orientation, and particle concentration.

Conclusions:

  • The study clarifies complex physics within active matter systems.
  • Provides theoretical insights into the self-organization and collective dynamics of active particles.
  • Offers design guidelines for the development of smart microswimmer systems.