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

First Law: Particles in Two-dimensional Equilibrium01:18

First Law: Particles in Two-dimensional Equilibrium

11.6K
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...
11.6K
First Law: Particles in One-dimensional Equilibrium01:10

First Law: Particles in One-dimensional Equilibrium

7.5K
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...
7.5K
The Pauli Exclusion Principle03:06

The Pauli Exclusion Principle

57.3K
The arrangement of electrons in the orbitals of an atom is called its electron configuration. We describe an electron configuration with a symbol that contains three pieces of information:
57.3K
Categories of Equilibrium01:30

Categories of Equilibrium

3.1K
Equilibrium is a crucial concept in physics, enabling us to understand how forces interact with bodies to produce no or constant motion. In two-dimensional equilibrium, force systems can be classified into different categories based on their characteristics.
One of the categories of equilibrium is collinear equilibrium, which involves forces acting along a straight line. This type of equilibrium requires only one force equation in the direction of the forces, as the other equations are...
3.1K
Dynamic Equilibrium02:20

Dynamic Equilibrium

59.3K
A reversible chemical reaction represents a chemical process that proceeds in both forward (left to right) and reverse (right to left) directions. When the rates of the forward and reverse reactions are equal, the concentrations of the reactant and product species remain constant over time and the system is at equilibrium. A special double arrow is used to emphasize the reversible nature of the reaction. The relative concentrations of reactants and products in equilibrium systems vary greatly;...
59.3K
Oscillations about an Equilibrium Position01:04

Oscillations about an Equilibrium Position

6.3K
Stability is an important concept in oscillation. If an equilibrium point is stable, a slight disturbance of an object that is initially at the stable equilibrium point will cause the object to oscillate around that point. For an unstable equilibrium point, if the object is disturbed slightly, it will not return to the equilibrium point. There are three conditions for equilibrium points—stable, unstable, and half-stable. A half-stable equilibrium point is also unstable, but is named so...
6.3K

You might also read

Related Articles

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

Sort by
Same author

Integration of transcriptomic data identifies CD163 as a key link between chronic rhinosinusitis with nasal polyps and COVID-19.

Rhinology·2026
Same author

Feasibility of modified target volumes to meet potential therapeutic needs for nasopharyngeal carcinoma.

Radiography (London, England : 1995)·2025
Same author

[Genomic characteristics of emerging toxigenic <i>Salmonella</i> <i>enterica</i> subsp. <i>diarizonae</i> 50:z<sub>52</sub>:z<sub>35</sub>/ST8433 cloning from diarrhea cases].

Zhonghua yi xue za zhi·2025
Same author

[The clinical effect of three dimensional print guided F/B-TEVAR vascular endoluminal repair of anastomotic leaks after open surgery for type A aortic dissection].

Zhonghua wai ke za zhi [Chinese journal of surgery]·2025
Same author

[Clinicopathological characteristics of high-grade succinate dehydrogenase-deficient renal cell carcinoma].

Zhonghua bing li xue za zhi = Chinese journal of pathology·2025
Same author

[Genomic characteristics of extraintestinal pathogenic <i>Escherichia coli</i>/ST88 and monophasic <i>Salmonella Typhimurium</i>/ST34 in a patient with double bacteremia].

Zhonghua yi xue za zhi·2025

Related Experiment Video

Updated: Nov 17, 2025

Creating Two-Dimensional Patterned Substrates for Protein and Cell Confinement
08:36

Creating Two-Dimensional Patterned Substrates for Protein and Cell Confinement

Published on: September 6, 2011

12.9K

Nonequilibrium pattern formation in circularly confined two-dimensional systems with competing interactions.

X B Xu1, T Tang1, Z H Wang1

  • 1Collaborative Innovation Center of Advanced Microstructures, School of Physics, Nanjing University, Nanjing 210093, People's Republic of China.

Physical Review. E
|February 19, 2021
PubMed
Summary

We numerically studied classic particles with competing interactions in a 2D logarithmic trap. Quench-induced dynamics reveal rich patterns influenced by confinement, showing a transition from superdiffusion to subdiffusion during pattern evolution.

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

8.9K
Magnetically Induced Rotating Rayleigh-Taylor Instability
06:42

Magnetically Induced Rotating Rayleigh-Taylor Instability

Published on: March 3, 2017

9.8K

Related Experiment Videos

Last Updated: Nov 17, 2025

Creating Two-Dimensional Patterned Substrates for Protein and Cell Confinement
08:36

Creating Two-Dimensional Patterned Substrates for Protein and Cell Confinement

Published on: September 6, 2011

12.9K
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

8.9K
Magnetically Induced Rotating Rayleigh-Taylor Instability
06:42

Magnetically Induced Rotating Rayleigh-Taylor Instability

Published on: March 3, 2017

9.8K

Area of Science:

  • Statistical Physics
  • Complex Systems
  • Computational Physics

Background:

  • Understanding nonequilibrium dynamics is crucial for many physical and biological systems.
  • Competing interactions can lead to complex emergent behaviors in confined systems.

Purpose of the Study:

  • To numerically investigate the nonequilibrium dynamics of classic particles with competing interactions in a 2D logarithmic trap.
  • To explore how confinement strength and trap size influence dynamic patterns and particle diffusion.

Main Methods:

  • Numerical simulations of classic particles in a two-dimensional logarithmic trap.
  • Analysis of quench-induced dynamics and particle diffusion modes.

Main Results:

  • Revealed quench-induced dynamics with rich patterns dependent on confinement and trap size.
  • Attributed pattern formation to time-dependent competition between interparticle forces under confinement.
  • Observed a transition from superdiffusion to subdiffusion coinciding with dynamic structure transformation.

Conclusions:

  • The study provides insights into pattern selection and evolution in modulated systems.
  • Findings can aid in understanding pattern formation in chemical and biological systems.
  • Offers a new method for tailoring the morphology of pattern-forming systems.