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

Escape Velocity01:26

Escape Velocity

5.6K
The escape velocity of an object is defined as the minimum initial velocity that it requires to escape the surface of another object to which it is gravitationally bound and never to return. For example, what would be the minimum velocity at which a satellite should be launched from the Earth's surface such that it just escapes the Earth's gravitational field?
To calculate the escape velocity, it is assumed that no energy is lost to any frictional forces. In practice, a satellite...
5.6K
Escape Velocities of Gases01:19

Escape Velocities of Gases

931
To escape the Earth's gravity, an object near the top of the atmosphere at an altitude of 100 km must travel away from Earth at 11.1 km/s. This speed is called the escape velocity. The temperature at which gas molecules attain the rms speed, which is equal to the escape velocity, can be estimated by using the equation for the average kinetic energy of the gas molecules. According to the kinetic theory of gas, the average kinetic energy of the gas molecules is proportional to its...
931
Energy Diagrams - II01:10

Energy Diagrams - II

4.6K
Energy diagrams are important to understand the dynamics of a system. The topology of an energy diagram helps illustrate the equilibrium points of the system.
The point in the energy diagram at which the system’s potential energy is the lowest is known as the local minima. The system tends to stay in this position indefinitely unless acted upon by a net force. The slope of the potential energy diagram at the local minima is zero, indicating that zero net force is acting on the system. The...
4.6K
Conservation of Mass in Moving, Nondeforming Control Volume01:14

Conservation of Mass in Moving, Nondeforming Control Volume

1.1K
Stormwater detention basins are essential in managing runoff during heavy rainfall, particularly in urban areas where impervious surfaces increase the risk of flooding. Understanding the conservation of mass in these systems allows engineers to optimize basin performance, balancing inflow, outflow, and water storage.
In the context of a detention basin, the conservation of mass states that the total mass of water entering the basin must equal the mass leaving the basin plus any accumulation of...
1.1K
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
Equilibrium Conditions for a Particle01:23

Equilibrium Conditions for a Particle

1.1K
When an object is in equilibrium, it is either at rest or moving with a constant velocity. There are two types of equilibrium: static and dynamic. Static equilibrium occurs when an object is at rest, while dynamic equilibrium occurs when an object is moving with a constant velocity. In both cases, there must be a balance of forces acting on the object.
To understand the concept of equilibrium, let us first consider the forces acting on an object. When different forces act on an object, they can...
1.1K

You might also read

Related Articles

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

Sort by
Same author

Generalized time-fractional kinetic-type equations with multiple parameters.

Chaos (Woodbury, N.Y.)·2025
Same author

Entropy Production of Run-and-Tumble Particles.

Entropy (Basel, Switzerland)·2024
Same author

Colloidal transport by light induced gradients of active pressure.

Nature communications·2023
Same author

Erratum: Biomimetic antimicrobial cloak by graphene-oxide agar hydrogel.

Scientific reports·2018
Same author

Memory-less response and violation of the fluctuation-dissipation theorem in colloids suspended in an active bath.

Scientific reports·2017
Same author

Biomimetic antimicrobial cloak by graphene-oxide agar hydrogel.

Scientific reports·2017
Same journal

Metallic microresonator spectral modes with inhomogeneously twisted nematic in magnetic field.

The European physical journal. E, Soft matter·2026
Same journal

Perspective on the paper: GDR MiDi. On dense granular flows.

The European physical journal. E, Soft matter·2026
Same journal

Dynamics of a three-dimensional oil drop driven by a surface acoustic wave over topography.

The European physical journal. E, Soft matter·2026
Same journal

Resolvability parameters in molecular graphs of antimalarial drugs.

The European physical journal. E, Soft matter·2026
Same journal

Inertial forces and elastohydrodynamic interaction of spherical particles in wall-bounded sedimentation experiments at low <math><msub><mi>Re</mi> <mtext>P</mtext></msub></math>.

The European physical journal. E, Soft matter·2026
Same journal

Semi-analytical modeling and simulation of human red blood cell deformation under non-linear strain.

The European physical journal. E, Soft matter·2026
See all related articles

Related Experiment Video

Updated: Jul 4, 2025

Optogenetic Stimulation of Escape Behavior in Drosophila melanogaster
08:03

Optogenetic Stimulation of Escape Behavior in Drosophila melanogaster

Published on: January 25, 2013

17.4K

Optimal escapes in active matter.

Luca Angelani1,2

  • 1Istituto dei Sistemi Complessi, Consiglio Nazionale delle Ricerche, Piazzale A. Moro 2, I-00185, Roma, Italy. luca.angelani@cnr.it.

The European Physical Journal. E, Soft Matter
|January 28, 2024
PubMed
Summary
This summary is machine-generated.

Active particles accumulate at boundaries, influencing escape times. An optimal tumbling rate balances exploration and accumulation for faster particle escape from confined spaces.

More Related Videos

Controlling Flow Speeds of Microtubule-Based 3D Active Fluids Using Temperature
08:04

Controlling Flow Speeds of Microtubule-Based 3D Active Fluids Using Temperature

Published on: November 26, 2019

7.2K
A Real-Time Interactive System for Studying Confrontational Pursuit Behavior in Rodents
06:25

A Real-Time Interactive System for Studying Confrontational Pursuit Behavior in Rodents

Published on: May 16, 2025

152

Related Experiment Videos

Last Updated: Jul 4, 2025

Optogenetic Stimulation of Escape Behavior in Drosophila melanogaster
08:03

Optogenetic Stimulation of Escape Behavior in Drosophila melanogaster

Published on: January 25, 2013

17.4K
Controlling Flow Speeds of Microtubule-Based 3D Active Fluids Using Temperature
08:04

Controlling Flow Speeds of Microtubule-Based 3D Active Fluids Using Temperature

Published on: November 26, 2019

7.2K
A Real-Time Interactive System for Studying Confrontational Pursuit Behavior in Rodents
06:25

A Real-Time Interactive System for Studying Confrontational Pursuit Behavior in Rodents

Published on: May 16, 2025

152

Area of Science:

  • Physics
  • Statistical Mechanics
  • Soft Matter

Background:

  • Active particles exhibit out-of-equilibrium behavior.
  • Accumulation at boundaries is a key characteristic in confined systems.
  • Escape processes are significantly affected by particle dynamics.

Purpose of the Study:

  • To investigate the non-monotonous behavior of exit times for active particles.
  • To understand the role of boundary accumulation in escape dynamics.
  • To identify optimal tumbling rates for efficient particle escape.

Main Methods:

  • 1D analytical calculations.
  • 2D numerical simulations of run-and-tumble particles.
  • Analysis of particle behavior at boundaries.

Main Results:

  • Observed non-monotonous exit times with respect to tumbling rate.
  • Demonstrated that boundary accumulation influences escape dynamics.
  • Identified an optimal tumbling rate for accelerated escape.

Conclusions:

  • Boundary accumulation is crucial for achieving fast escapes.
  • The interplay between bulk exploration and boundary accumulation dictates escape efficiency.
  • Optimal tumbling rates exist for active particles in confined environments.