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

Equilibrium Conditions for a Particle01:23

Equilibrium Conditions for a Particle

2.3K
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...
2.3K
Understanding Memory01:19

Understanding Memory

1.6K
Memory is the retention of information or experiences over time, facilitated through three main processes: encoding, storage, and retrieval. Encoding is the process of inputting information into the memory system. For instance, when listening to a lecture, watching a play, reading a book, or having a conversation, the brain is actively encoding information. This initial stage involves transforming sensory input into a form that can be processed and stored by the brain. Various factors, such as...
1.6K
Fermi Level Dynamics01:12

Fermi Level Dynamics

763
The vacuum level denotes the energy threshold required for an electron to escape from a material surface. It is usually positioned above the conduction band of a semiconductor and acts as a benchmark for comparing electron energies within various materials.
Electron affinity in semiconductors refers to the energy gap between the minimum of its conduction band and the vacuum level and it is a critical parameter in determining how easily a semiconductor can accept additional electrons.
The work...
763
Propagation of Action Potentials01:23

Propagation of Action Potentials

9.7K
The propagation of an action potential refers to the process by which a nerve impulse, or "action potential," travels along a neuron.
Neurons (nerve cells) have a resting membrane potential, with a slightly negative charge inside compared to outside. This is maintained by ion channels, such as sodium (Na+) and potassium (K+) channels, which control the flow of ions. When a stimulus, like a touch or a signal from another neuron, triggers the neuron, sodium channels open, allowing sodium ions to...
9.7K
First Law: Particles in Two-dimensional Equilibrium01:18

First Law: Particles in Two-dimensional Equilibrium

16.9K
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...
16.9K
Potential Due to a Polarized Object01:29

Potential Due to a Polarized Object

815
A neutral atom consists of a positively charged nucleus surrounded by a negatively charged electron cloud. When placed in an external electric field, the external electric force pulls the electrons and nucleus apart, opposite to the intrinsic attraction between the nucleus and the electrons. The opposing forces balance each other with a slight shift between the center of masses of the nucleus and the electron cloud, resulting in a polarized atom. On the other hand, a few molecules, like water,...
815

You might also read

Related Articles

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

Sort by
Same author

Spectral Insights into Active Matter: Exceptional Points and the Mathieu Equation.

Entropy (Basel, Switzerland)·2026
Same author

Reduced density fluctuations via antialigning in active matter.

Physical review. E·2026
Same author

Nonreciprocal antialigning active mixtures: Deriving the exact Boltzmann collision operator.

Physical review. E·2025
Same author

Emergent flocking in mixtures of antialigning self-propelled particles.

Physical review. E·2025
Same author

Kinetic Theory of Self-Propelled Particles with Nematic Alignment.

Entropy (Basel, Switzerland)·2025
Same author

Comment on 'When low-order expansions fail and all higher-order contributions matter-basic example of the mean squared displacement for Brownian motion'.

The European physical journal. E, Soft matter·2023
Same journal

Erratum: Bacterial Turbulence at Compressible Fluid Interfaces [Phys. Rev. Lett. 136, 138301 (2026)].

Physical review letters·2026
Same journal

Unveiling Light-Quark Yukawa Flavor Structure via Dihadron Fragmentation at Lepton Colliders.

Physical review letters·2026
Same journal

Adaptable Route to Fast Coherent State Transport via Bang-Bang-Bang Protocols.

Physical review letters·2026
Same journal

Topological Transition and Emergence of Elasticity of Dislocation in Skyrmion Lattice: Beyond Kittel's Magnetic-Polar Analogy.

Physical review letters·2026
Same journal

Pound-Drever-Hall Method for Superconducting-Qubit Readout.

Physical review letters·2026
Same journal

Coupling a ^{73}Ge Nuclear Spin to an Electrostatically Defined Quantum Dot in Silicon.

Physical review letters·2026
See all related articles

Related Experiment Video

Updated: Feb 17, 2026

Gradient Echo Quantum Memory in Warm Atomic Vapor
10:00

Gradient Echo Quantum Memory in Warm Atomic Vapor

Published on: November 11, 2013

13.3K

Giant Kovacs-Like Memory Effect for Active Particles.

Rüdiger Kürsten1, Vladimir Sushkov2, Thomas Ihle1

  • 1Institut für Physik, Universität Greifswald, Felix-Hausdorff-Str. 6, 17489 Greifswald, Germany.

Physical Review Letters
|December 9, 2017
PubMed
Summary
This summary is machine-generated.

Active matter systems exhibit a giant memory effect, similar to the Kovacs effect seen in disordered systems. A new nonlinear theory explains this phenomenon in self-propelled particles, with applications to granular gases and spin glasses.

More Related Videos

Real-time Electrophysiology: Using Closed-loop Protocols to Probe Neuronal Dynamics and Beyond
08:08

Real-time Electrophysiology: Using Closed-loop Protocols to Probe Neuronal Dynamics and Beyond

Published on: June 24, 2015

12.1K
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

7.6K

Related Experiment Videos

Last Updated: Feb 17, 2026

Gradient Echo Quantum Memory in Warm Atomic Vapor
10:00

Gradient Echo Quantum Memory in Warm Atomic Vapor

Published on: November 11, 2013

13.3K
Real-time Electrophysiology: Using Closed-loop Protocols to Probe Neuronal Dynamics and Beyond
08:08

Real-time Electrophysiology: Using Closed-loop Protocols to Probe Neuronal Dynamics and Beyond

Published on: June 24, 2015

12.1K
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

7.6K

Area of Science:

  • Physics
  • Complex Systems
  • Statistical Mechanics

Background:

  • Memory effects are known in disordered systems, but their occurrence in active matter was less understood.
  • Self-propelled particles with bounded confidence rules are a key model for collective behavior.

Purpose of the Study:

  • To investigate dynamical properties and memory effects in active matter systems.
  • To explain the observed giant Kovacs-like memory effect using a theoretical framework.

Main Methods:

  • Kinetic theory and agent-based simulations were employed.
  • A nonlinear theory based on timescale separation was developed.

Main Results:

  • A giant Kovacs-like memory effect was observed in active matter systems.
  • The effect was found to be significantly larger than predicted by linear theories.
  • The developed nonlinear theory successfully explains this phenomenon.

Conclusions:

  • Active matter systems, like disordered systems, exhibit significant memory effects.
  • The new nonlinear theory provides a robust explanation for these effects in self-propelled particles.
  • The theory has potential applications in driven granular gases and spin glasses.