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

Principle of Linear Impulse and Momentum for a System of Particles01:21

Principle of Linear Impulse and Momentum for a System of Particles

710
In the context of a system of particles moving relative to an inertial frame of reference, the equation of motion is a crucial tool for understanding the dynamics of the system. This equation, which accounts for external forces acting on each particle, plays a fundamental role in describing the system's behavior.
Notably, internal forces between particles, occurring in equal and opposite collinear pairs, cancel out and are not part of the equation of motion. This exclusion simplifies the...
710
Viscosity of Fluid01:19

Viscosity of Fluid

2.3K
Viscosity measures the resistance a fluid offers to flow and deformation. It results from internal friction between layers of fluid moving relative to one another. Dynamic viscosity, denoted by the Greek letter mu (μ), quantifies the force needed to move one fluid layer over another. For Newtonian fluids like water and air, the relationship between the shearing stress and the rate of shearing strain is linear, meaning their viscosity remains constant regardless of the applied stress.
2.3K
Principle of Linear Impulse and Momentum for a Single Particle01:20

Principle of Linear Impulse and Momentum for a Single Particle

2.0K
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...
2.0K
Accelerating Fluids01:17

Accelerating Fluids

2.5K
When a fluid is in constant acceleration, the pressure and buoyant force equations are modified. Suppose a beaker is placed in an elevator accelerating upward with a constant acceleration, a. In the beaker, assume there is a thin cylinder of height h with an infinitesimal cross-sectional area, ΔS.
The motion of the liquid within this infinitesimal cylinder is considered to obtain the pressure difference. Three vertical forces act on this liquid:
2.5K
Newtonian Fluid: Problem Solving01:18

Newtonian Fluid: Problem Solving

1.1K
Newtonian fluids exhibit a constant viscosity, meaning their shear stress and shear strain rate are directly proportional. This property ensures a predictable and stable response to applied forces, maintaining a linear relationship between force and flow. Examples include water, air, and light oils, consistently demonstrating this proportional behavior regardless of external conditions.
A velocity gradient forms within the fluid when a Newtonian fluid is placed between two parallel plates, with...
1.1K
Conservation of Linear Momentum for a System of Particles01:28

Conservation of Linear Momentum for a System of Particles

672
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...
672

You might also read

Related Articles

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

Sort by
Same author

Temperature induced migration of interacting charged colloidal particles: an irreversible thermodynamics approach.

Soft matter·2025
Same author

Analyzing the concentration-dependent Soret coefficient minimum in salt solutions: an overview.

Physical chemistry chemical physics : PCCP·2025
Same author

Temperature-induced migration of electro-neutral interacting colloidal particles.

Journal of colloid and interface science·2024
Same author

Non-monotonic Soret coefficients of aqueous LiCl solutions with varying concentrations.

Physical chemistry chemical physics : PCCP·2024
Same author

General weak segregation theory with an application to monodisperse semi-flexible diblock copolymers.

The Journal of chemical physics·2023
Same author

Overlapping hydration shells in salt solutions causing non-monotonic Soret coefficients with varying concentration.

Physical chemistry chemical physics : PCCP·2022

Related Experiment Video

Updated: Apr 19, 2026

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

9.1K

Momentum conserving Brownian dynamics propagator for complex soft matter fluids.

J T Padding1, W J Briels2

  • 1Department of Chemical Engineering and Chemistry, Eindhoven University of Technology, P.O. Box 513, 5600 MB, Eindhoven, The Netherlands.

The Journal of Chemical Physics
|January 3, 2015
PubMed
Summary

We developed a new simulation method for soft matter systems with high friction. This approach accurately captures long-time behaviors in polymer solutions, aligning with hydrodynamic predictions.

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

12.6K
Combining Microfluidics and Microrheology to Determine Rheological Properties of Soft Matter during Repeated Phase Transitions
11:38

Combining Microfluidics and Microrheology to Determine Rheological Properties of Soft Matter during Repeated Phase Transitions

Published on: April 19, 2018

8.6K

Related Experiment Videos

Last Updated: Apr 19, 2026

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

9.1K
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

12.6K
Combining Microfluidics and Microrheology to Determine Rheological Properties of Soft Matter during Repeated Phase Transitions
11:38

Combining Microfluidics and Microrheology to Determine Rheological Properties of Soft Matter during Repeated Phase Transitions

Published on: April 19, 2018

8.6K

Area of Science:

  • Soft Matter Physics
  • Computational Materials Science
  • Polymer Physics

Background:

  • Simulating soft matter systems with high friction presents computational challenges.
  • Existing methods may not accurately capture the complex dynamics influenced by friction and background material motion.

Purpose of the Study:

  • To introduce a novel, Galilean invariant, and momentum-conserving Brownian dynamics scheme.
  • To enable accurate coarse-grained simulations of highly frictional soft matter systems.

Main Methods:

  • Developed a first-order Brownian dynamics scheme incorporating friction with moving background material.
  • Utilized locally averaged velocities to describe background material motion.
  • Derived stochastic update properties via Chapman-Kolmogorov and Fokker-Planck equations, ensuring equilibrium distribution is stationary.

Main Results:

  • Tested the scheme on concentrated star polymer solutions.
  • Observed that transverse current and velocity time auto-correlation functions match hydrodynamic expectations.
  • Confirmed the presence of long-time tails in velocity auto-correlation functions, consistent with hydrodynamics.

Conclusions:

  • The new Brownian dynamics scheme is effective for simulating frictional soft matter.
  • The method accurately reproduces hydrodynamic behaviors, including long-time tails in auto-correlation functions.
  • This provides a valuable tool for understanding the dynamics of complex polymer systems.