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

Conservation of Linear Momentum for a System of Particles01:28

Conservation of Linear Momentum for a System of Particles

550
In the dynamic realm of billiards, a fascinating interplay of forces governs the motion of cue balls and stationary balls. When the cue ball collides with a stationary ball, linear momentum is exchanged. The cue ball imparts a fraction of its linear momentum to the stationary ball, causing the cue ball to decelerate while initiating the motion of the stationary ball.
The impulsive force at play during this interaction is of extremely short duration, rendering its impulse negligible. When...
550
The Nucleosome Core Particle02:10

The Nucleosome Core Particle

14.4K
Nucleosomes are the DNA-histone complex, where the DNA strand is wound around the histone core. The histone core is an octamer containing two copies of H2A, H2B, H3, and H4 histone proteins.
The paradox
Nucleosomes, paradoxically, perform two opposite functions simultaneously. On the one hand, their main responsibility is to protect the delicate DNA strands from physical damage and help achieve a higher compaction ratio. While on the other hand, they must allow polymerase enzymes to access DNA...
14.4K
The Nucleosome Core Particle01:12

The Nucleosome Core Particle

2.3K
Nucleosomes are the DNA-histone complex, where the DNA strand is wound around the histone core. The histone core is an octamer containing two copies of H2A, H2B, H3, and H4 histone proteins.
Nucleosomes, paradoxically, perform two opposite functions simultaneously. On the one hand, their primary aim is to protect the delicate DNA strands from physical damage and help achieve a higher compaction ratio. On the other hand, they must allow polymerase enzymes to access histone-bound DNA during...
2.3K
Subatomic Particles03:37

Subatomic Particles

112.8K
Dalton was only partially correct about the particles that make up matter. All matter is composed of atoms, and atoms are composed of three smaller subatomic particles: protons, neutrons, and electrons. These three particles account for the mass and the charge of an atom.
112.8K
Angular Momentum: Single Particle01:10

Angular Momentum: Single Particle

7.8K
Angular momentum is directed perpendicular to the plane of the rotation, and its magnitude depends on the choice of the origin. The perpendicular vector joining the linear momentum vector of an object to the origin is called the “lever arm.” If the lever arm and linear momentum are collinear, then the magnitude of the angular momentum is zero. Therefore, in this case, the object rotates about the origin such that it lies on the rim of the circumference defined by the lever arm...
7.8K
Principle of Linear Impulse and Momentum for a Single Particle01:20

Principle of Linear Impulse and Momentum for a Single Particle

1.6K
Linear momentum is a fundamental concept in physics that describes the motion of an object. It is a vector quantity, having a magnitude equal to the product of its mass and its velocity, and direction along the object's velocity. On the other hand, linear impulse, also known as momentum impulse, is a concept in physics related to the change in the linear momentum of an object. Impulse is a vector quantity defined as the product of force and the time over which the force is applied.
Delving...
1.6K

You might also read

Related Articles

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

Sort by
Same author

Hard Disks Confined within a Narrow Channel.

The journal of physical chemistry. B·2026
Same author

Routes to the Density Profile and Structural Inconsistency.

The journal of physical chemistry. B·2026
Same author

Asymptotic methods for confined fluids.

Physical review. E·2025
Same author

Combining integral equation closures with force density functional theory for the study of inhomogeneous fluids.

Soft matter·2025
Same author

Superadiabatic dynamical density functional theory for colloidal suspensions under homogeneous steady-shear.

The Journal of chemical physics·2024
Same author

Superadiabatic dynamical density functional study of Brownian hard-spheres in time-dependent external potentials.

The Journal of chemical physics·2023
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: Jan 29, 2026

Method for Measurement of Viral Fusion Kinetics at the Single Particle Level
14:59

Method for Measurement of Viral Fusion Kinetics at the Single Particle Level

Published on: September 7, 2009

13.4K

Particle-conserving dynamics on the single-particle level.

T Schindler1, R Wittmann2, J M Brader2

  • 1Institute for Theoretical Physics I, Friedrich-Alexander University Erlangen-Nürnberg Theoretical Physics II, University of Bayreuth, Universitätsstraße 30, 95447 Bayreuth, Germany.

Physical Review. E
|February 21, 2019
PubMed
Summary
This summary is machine-generated.

We extended particle-conserving dynamics to binary mixtures, accurately simulating hard rods. This method shows limitations in one dimension at long times due to neglecting particle order, highlighting theoretical approach constraints.

More Related Videos

A Protocol for Real-time 3D Single Particle Tracking
10:16

A Protocol for Real-time 3D Single Particle Tracking

Published on: January 3, 2018

15.3K
A Microfluidic-based Hydrodynamic Trap for Single Particles
10:13

A Microfluidic-based Hydrodynamic Trap for Single Particles

Published on: January 21, 2011

17.2K

Related Experiment Videos

Last Updated: Jan 29, 2026

Method for Measurement of Viral Fusion Kinetics at the Single Particle Level
14:59

Method for Measurement of Viral Fusion Kinetics at the Single Particle Level

Published on: September 7, 2009

13.4K
A Protocol for Real-time 3D Single Particle Tracking
10:16

A Protocol for Real-time 3D Single Particle Tracking

Published on: January 3, 2018

15.3K
A Microfluidic-based Hydrodynamic Trap for Single Particles
10:13

A Microfluidic-based Hydrodynamic Trap for Single Particles

Published on: January 21, 2011

17.2K

Area of Science:

  • Statistical Mechanics
  • Soft Matter Physics
  • Computational Physics

Background:

  • Generalizing particle-conserving dynamics (PCD) is crucial for complex systems.
  • Previous PCD methods were limited to single-component systems.
  • Understanding hard rod dynamics in one dimension is a fundamental problem.

Purpose of the Study:

  • Extend particle-conserving dynamics to binary mixtures.
  • Apply the generalized method to one-dimensional hard rod systems.
  • Investigate tagged-particle dynamics within this framework.

Main Methods:

  • Generalization of the particle-conserving dynamics method.
  • Application to one-dimensional hard rods (binary mixtures).
  • Comparison with exact Brownian dynamics and dynamical density functional theory (DDFT).

Main Results:

  • The generalized PCD method accurately reproduces simulation data at short and intermediate times.
  • PCD shows improved results compared to DDFT for density profiles.
  • Errors emerge at long times due to the neglect of strict particle ordering.

Conclusions:

  • The generalized PCD method is a valuable tool for studying complex mixtures.
  • The study highlights limitations of density-based theories when particle caging is significant.
  • Ergodicity assumptions in theoretical models can impact long-time dynamics accuracy.