Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Laminar and Turbulent Flow

Laminar and Turbulent Flow

Fluid dynamics is the study of fluids in motion. Velocity vectors are often used to illustrate fluid motion in applications like meteorology. For example, wind—the fluid motion of air in the atmosphere—can be represented by vectors indicating the speed and direction of the wind at any given point on a map. Another method for representing fluid motion is a streamline. A streamline represents the path of a small volume of fluid as it flows. When the flow pattern changes with time, the streamlines...

Steady, Laminar Flow in Circular Tubes

Steady, Laminar Flow in Circular Tubes

Hagen-Poiseuille flow describes a viscous fluid's steady, incompressible flow through a cylindrical tube with a constant radius R. This flow profile is often applied to understand fluid transport in narrow channels, such as capillaries. It serves as a foundational example of laminar flow. In this model, cylindrical coordinates (r,θ,z) are used to describe the radial (r), angular (θ), and axial (z) dimensions within the tube. For Hagen-Poiseuille flow, the velocity profile is purely axial,...

Eulerian and Lagrangian Flow Descriptions

Eulerian and Lagrangian Flow Descriptions

Fluid flow analysis is critical in many scientific and engineering disciplines, and two principal approaches are used to describe this flow: the Eulerian and Lagrangian methods. These methods offer different perspectives on monitoring and analyzing the motion of fluids, each with distinct advantages depending on the scenario.
The Eulerian method focuses on fixed points in space where fluid properties, such as velocity, pressure, and temperature, are observed as the fluid moves between these...

You might also read

Related Articles

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

Sort by

Same author

Phototactic Decision-Making by Microalgae.

Physical review letters·2025

Same author

Pure Hydrodynamic Instabilities in Active Jets of Puller Microalgae.

Physical review letters·2025

Same author

Light-Induced Phase Separation with Finite Wavelength Selection in Photophobic Microalgae.

Physical review letters·2025

Same author

Melting of nonreciprocal solids: How dislocations propel and fission in flowing crystals.

Proceedings of the National Academy of Sciences of the United States of America·2025

Same author

Emergence of collective oscillations in massive human crowds.

Nature·2025

Same author

Interpreting Neural Operators: How Nonlinear Waves Propagate in Nonreciprocal Solids.

Physical review letters·2024

Search research articles

Related Experiment Video

Updated: May 24, 2026

A Microfluidic-based Hydrodynamic Trap for Single Particles

A Microfluidic-based Hydrodynamic Trap for Single Particles

Published on: January 21, 2011

Hamiltonian traffic dynamics in microfluidic-loop networks.

Raphaël Jeanneret¹, Julien-Piera Vest, Denis Bartolo

¹PMMH ESPCI-ParisTech, CNRS UMR 7636, Université Pierre et Marie Curie, Université Paris Diderot, 10 rue Vauquelin 75231 Paris cedex 05 France.

Physical Review Letters

|March 10, 2012

Summary

This summary is machine-generated.

Large particles in fluidic loops exhibit long-range hydrodynamic interactions, leading to Hamiltonian dynamics in one-dimensional networks. Despite broken time-reversal symmetry, particle trajectories become reciprocal, revealing unique traffic behaviors.

More Related Videos

Assembly and Characterization of an External Driver for the Generation of Sub-Kilohertz Oscillatory Flow in Microchannels

Assembly and Characterization of an External Driver for the Generation of Sub-Kilohertz Oscillatory Flow in Microchannels

Published on: January 28, 2022

Perfusable Vascular Network with a Tissue Model in a Microfluidic Device

Perfusable Vascular Network with a Tissue Model in a Microfluidic Device

Published on: April 4, 2018

Related Experiment Videos

Last Updated: May 24, 2026

A Microfluidic-based Hydrodynamic Trap for Single Particles

A Microfluidic-based Hydrodynamic Trap for Single Particles

Published on: January 21, 2011

Assembly and Characterization of an External Driver for the Generation of Sub-Kilohertz Oscillatory Flow in Microchannels

Assembly and Characterization of an External Driver for the Generation of Sub-Kilohertz Oscillatory Flow in Microchannels

Published on: January 28, 2022

Perfusable Vascular Network with a Tissue Model in a Microfluidic Device

Perfusable Vascular Network with a Tissue Model in a Microfluidic Device

Published on: April 4, 2018

Area of Science:

Fluid Dynamics
Complex Systems
Statistical Mechanics

Background:

Microfluidic experiments show large particles in fluidic loops have long-range hydrodynamic interactions.
The impact of these interactions on traffic dynamics in complex networks is not well understood.

Purpose of the Study:

Investigate particle transport and hydrodynamic interactions in one-dimensional loop networks.
Understand the collective behavior and traffic dynamics of finite particle systems.

Main Methods:

Combined numerical simulations, theoretical analysis, and experimental studies.
Focused on the transport of a finite number of particles in loop networks.

Main Results:

Demonstrated that particle transport in these networks exhibits Hamiltonian dynamics.
Showed that asymptotic trajectories are reciprocal, even though microscopic rules break time-reversal symmetry.
Characterized the effective three-particle interaction arising from fluidic loop exploration.

Conclusions:

The study provides a unique example of Hamiltonian dynamics for hydrodynamically interacting particles.
Reciprocal trajectories emerge despite broken time-reversal symmetry, offering insights into complex particle transport.
The findings explain key features of three-particle interactions in fluidic loop networks.