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

Correlation of Experimental Data01:23

Correlation of Experimental Data

230
Dimensional analysis simplifies complex physical problems and guides experimental investigations, but it does not provide complete solutions. It identifies the dimensionless groups that influence a phenomenon, but experimental data is needed to establish the specific relationships and validate theoretical predictions.
For example, a spherical particle moving through a viscous fluid experiences drag. Dimensional analysis shows that the drag force depends on the particle's diameter, velocity,...
230
Dimensionless Groups in Fluid Mechanics01:15

Dimensionless Groups in Fluid Mechanics

327
Dimensionless groups in fluid mechanics provide simplified ratios that help analyze fluid behavior without relying on specific units. The Reynolds number (Re), which represents the ratio of inertial to viscous forces, distinguishes between laminar and turbulent flows, making it essential in the design of pipelines and aerodynamic surfaces. The Froude number (Fr), the ratio of inertial to gravitational forces, is particularly useful in predicting wave formation and hydraulic jumps in...
327
Kinetic Theory of an Ideal Gas01:12

Kinetic Theory of an Ideal Gas

3.5K
A mole is defined as the amount of any substance that contains as many molecules as there are atoms in exactly 12 grams of carbon-12. An Italian scientist Amedeo Avogadro (1776–1856) formed the  hypothesis that equal volumes of gas at equal pressure and temperature contain equal numbers of molecules, independent of the type of gas. Later, the hypothesis was developed to form the SI unit for measuring the amount of any substance.
The number of molecules in one mole is called...
3.5K
First Law: Particles in One-dimensional Equilibrium01:10

First Law: Particles in One-dimensional Equilibrium

6.9K
Newton's first law of motion states that a body at rest remains at rest, or if in motion, remains in motion at constant velocity, unless acted on by a net external force. It also states that there must be a cause for any change in velocity (a change in either magnitude or direction) to occur. This cause is a net external force. For example, consider what happens to an object sliding along a rough horizontal surface. The object quickly grinds to a halt, due to the net force of friction. If...
6.9K
First Law: Particles in Two-dimensional Equilibrium01:18

First Law: Particles in Two-dimensional Equilibrium

5.1K
Recall that a particle in equilibrium is one for which the external forces are balanced. Static equilibrium involves objects at rest, and dynamic equilibrium involves objects in motion without acceleration; but it is important to remember that these conditions are relative. For instance, an object may be at rest when viewed from one frame of reference, but that same object would appear to be in motion when viewed by someone moving at a constant velocity.
Newton's first law tells us about...
5.1K
Capillarity in Fluid01:19

Capillarity in Fluid

176
Capillarity describes the movement of liquid in small spaces without external forces acting on it. The capillarity is driven by surface tension and adhesive interactions between the liquid and surrounding solid surfaces. This effect is often seen in narrow tubes, porous materials, and fine particles.
Surface tension is crucial to capillarity. It results from cohesive forces between liquid molecules at the liquid-air boundary, forming a skin that resists external forces. When the capillary tube...
176

You might also read

Related Articles

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

Sort by
Same author

Short-range order and atomic dynamics of Ti<sub>75</sub>Ni<sub>25</sub>melts.

Journal of physics. Condensed matter : an Institute of Physics journal·2026
Same author

Adhesion-driven invasion: Disentangling the interplay between cell-cell and cell-matrix interactions in cancer cell migration.

Biophysical journal·2026
Same author

Shear-Rate Dependent Surface Tension of Glass-Forming Fluids.

Physical review letters·2026
Same author

Fundamental measure theory for predicting many-body correlation functions.

Physical review. E·2025
Same author

Homogeneous nucleation of undercooled Al-Ni melts via a machine-learned interaction potential.

The Journal of chemical physics·2025
Same author

Polydispersity-driven dynamical differences between two- and three-dimensional supercooled liquids.

Physical review. E·2025
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 23, 2025

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

8.5K

Microscopic theory for nonequilibrium correlation functions in dense active fluids.

Vincent E Debets1,2, Lila Sarfati1,3, Thomas Voigtmann4,5

  • 1Department of Applied Physics, <a href="https://ror.org/02c2kyt77">Eindhoven University of Technology</a>, P.O. Box 513, 5600MB Eindhoven, The Netherlands.

Physical Review. E
|June 22, 2024
PubMed
Summary
This summary is machine-generated.

Dense active matter exhibits spontaneous velocity correlations. Thermal noise, unlike in athermal systems, disrupts these correlations in active Brownian particles (ABPs).

More Related Videos

Confocal Imaging of Confined Quiescent and Flowing Colloid-polymer Mixtures
10:56

Confocal Imaging of Confined Quiescent and Flowing Colloid-polymer Mixtures

Published on: May 20, 2014

12.1K
Measurement of Particle Size Distribution in Turbid Solutions by Dynamic Light Scattering Microscopy
09:16

Measurement of Particle Size Distribution in Turbid Solutions by Dynamic Light Scattering Microscopy

Published on: January 9, 2017

14.4K

Related Experiment Videos

Last Updated: Jun 23, 2025

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

8.5K
Confocal Imaging of Confined Quiescent and Flowing Colloid-polymer Mixtures
10:56

Confocal Imaging of Confined Quiescent and Flowing Colloid-polymer Mixtures

Published on: May 20, 2014

12.1K
Measurement of Particle Size Distribution in Turbid Solutions by Dynamic Light Scattering Microscopy
09:16

Measurement of Particle Size Distribution in Turbid Solutions by Dynamic Light Scattering Microscopy

Published on: January 9, 2017

14.4K

Area of Science:

  • Physics
  • Soft Matter Physics
  • Statistical Mechanics

Background:

  • Dense active matter, including liquid, supercooled, and solid phases, is characterized by equal-time velocity correlations.
  • These correlations arise spontaneously, representing a generic feature of active matter independent of alignment interactions.
  • Understanding velocity correlations is crucial for comparing active and passive liquids, but existing studies often neglect thermal diffusion.

Purpose of the Study:

  • To develop a microscopic method for calculating nonequilibrium correlations in thermal active Brownian particles (ABPs).
  • To investigate the impact of thermal noise on velocity correlations in dense active matter.
  • To analytically and computationally study static structure factors and active velocity correlations.

Main Methods:

  • Utilizing the integration through transients formalism.
  • Applying (active) mode-coupling theory for analytical calculations.
  • Performing simulations of both thermal and athermal ABPs for comparison.

Main Results:

  • Analytical calculation of static structure factors and active velocity correlations for thermal ABPs.
  • Demonstration of the disruptive effect of thermal noise on velocity correlations.
  • Qualitative consistency between theoretical predictions and simulation results.

Conclusions:

  • The developed microscopic method accurately captures nonequilibrium correlations in thermal ABPs.
  • Thermal noise plays a significant role in modifying velocity correlations, distinguishing thermal from athermal active matter.
  • This work provides a foundation for comparing thermal active systems with passive liquids.