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

Viscosity of Fluid01:19

Viscosity of Fluid

1.4K
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.
1.4K
Types of Fluids01:27

Types of Fluids

1.1K
Fluids can be classified into Newtonian and non-Newtonian fluids based on their response to shear stress. Newtonian fluids have a linear relationship between shear stress and the shear strain rate, following Newton's law of viscosity. Their viscosity remains constant regardless of the shear rate, making their behavior predictable and easier to analyze. Common examples include water, air, oil, and gasoline.
In contrast, non-Newtonian fluids do not follow Newton's law of viscosity, and...
1.1K
Characteristics of Fluids01:31

Characteristics of Fluids

1.1K
Fluids differ from solids primarily in their molecular structure and stress response. Solids have tightly packed molecules with strong intermolecular forces, maintaining their shape and resisting deformation. In contrast, fluids have molecules spaced farther apart with weaker forces, allowing them to flow and deform easily.
Fluids, which include both liquids and gases, are substances that deform continuously under shearing stress. For example, water and oil are liquids with molecules that can...
1.1K
Characteristics of Fluids01:20

Characteristics of Fluids

8.4K
When a force is applied parallel to the top surface of a solid, it resists the applied force due to the internal frictional forces between the layers of the solid known as shearing resistance. However, when the force is removed, the shearing forces restore the original shape of the solid. Other deformation forces also cause temporary changes in shape if the forces are not beyond a threshold magnitude. Solids tend to retain their shape, making the study of their rest and motion easier. Beyond...
8.4K
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
Steady, Laminar Flow in Circular Tubes01:23

Steady, Laminar Flow in Circular Tubes

1.3K
Hagen-Poiseuille flow describes a viscous fluid's steady, incompressible flow through a cylindrical tube with a constant radius R. This flow profile is often applied to understand fluid transport in narrow channels, such as capillaries. It serves as a foundational example of laminar flow. In this model, cylindrical coordinates (r,θ,z) are used to describe the radial (r), angular (θ), and axial (z) dimensions within the tube. For Hagen-Poiseuille flow, the velocity profile is purely axial,...
1.3K

You might also read

Related Articles

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

Sort by
Same author

Evolving information complexity of coarsening materials microstructures.

Scientific reports·2023
Same author

Monte Carlo simulations of patch models with applications to soft matter.

Soft matter·2020
Same author

Materials informatics for the screening of multi-principal elements and high-entropy alloys.

Nature communications·2019
Same author

Early stage aggregation of a coarse-grained model of polyglutamine.

The Journal of chemical physics·2018
Same author

Kinetics of first-order phase transitions with correlated nuclei.

Physical review. E·2017
Same author

Phase diagram of a model of the protein amelogenin.

The Journal of chemical physics·2016
Same journal

The influence of chirality on the macroscopic behavior of multiferroic smectic phases.

The Journal of chemical physics·2026
Same journal

Polaron transformed canonically consistent quantum master equation.

The Journal of chemical physics·2026
Same journal

The x-ray absorption spectrum of the propargyl radical C3H3●.

The Journal of chemical physics·2026
Same journal

Transient hydroperoxyalkyl intermediates (•QOOH) in isopentane oxidation. I. Conformer- and isomer-resolved infrared spectra.

The Journal of chemical physics·2026
Same journal

Transient hydroperoxyalkyl intermediates (•QOOH) in isopentane oxidation. II. Isomer-resolved unimolecular dynamics.

The Journal of chemical physics·2026
Same journal

Quantum state-to-state dynamics studies of the C(3P) + OH(X2Π) → CO(a3Π) + H(2S) reaction based on a new HCO(12A″) potential energy surface.

The Journal of chemical physics·2026
See all related articles

Related Experiment Video

Updated: Feb 24, 2026

Experimental Measurement of Settling Velocity of Spherical Particles in Unconfined and Confined Surfactant-based Shear Thinning Viscoelastic Fluids
10:28

Experimental Measurement of Settling Velocity of Spherical Particles in Unconfined and Confined Surfactant-based Shear Thinning Viscoelastic Fluids

Published on: January 3, 2014

15.6K

Phase behavior of patchy spheroidal fluids.

T N Carpency1, J D Gunton1, J M Rickman1

  • 1Department of Physics, Lehigh University, Bethlehem, Pennsylvania 18015, USA.

The Journal of Chemical Physics
|August 12, 2017
PubMed
Summary
This summary is machine-generated.

This study uses computer simulations to explore how particle shape and interactions affect colloidal fluid phase behavior. Critical temperature depends on particle shape and patch size, influencing fluid ordering.

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
Studying Large Amplitude Oscillatory Shear Response of Soft Materials
06:07

Studying Large Amplitude Oscillatory Shear Response of Soft Materials

Published on: April 25, 2019

13.8K

Related Experiment Videos

Last Updated: Feb 24, 2026

Experimental Measurement of Settling Velocity of Spherical Particles in Unconfined and Confined Surfactant-based Shear Thinning Viscoelastic Fluids
10:28

Experimental Measurement of Settling Velocity of Spherical Particles in Unconfined and Confined Surfactant-based Shear Thinning Viscoelastic Fluids

Published on: January 3, 2014

15.6K
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
Studying Large Amplitude Oscillatory Shear Response of Soft Materials
06:07

Studying Large Amplitude Oscillatory Shear Response of Soft Materials

Published on: April 25, 2019

13.8K

Area of Science:

  • Colloid science
  • Statistical mechanics
  • Materials science

Background:

  • Understanding colloidal fluid phase behavior is crucial for materials design.
  • Particle shape and anisotropic interactions significantly influence fluid properties.
  • Ellipsoidal particles with surface patches offer a model for complex fluids like proteins.

Purpose of the Study:

  • To investigate the impact of shape and interaction anisotropy on colloidal fluid phase behavior.
  • To determine the fluid-fluid equilibrium phase diagram for patchy ellipsoidal particles.
  • To analyze critical behavior as a function of particle shape parameters.

Main Methods:

  • Gibbs-ensemble Monte Carlo computer simulations were employed.
  • Hard prolate ellipsoids with Kern-Frenkel surface patches were modeled.
  • Phase diagrams and critical behavior were systematically studied.

Main Results:

  • The critical temperature's dependence on aspect ratio was linked to patch solid angles.
  • Particle elongation and resulting fluid ordering were identified as key factors in phase behavior.
  • Phase diagrams were generated for various particle shapes and interaction conditions.

Conclusions:

  • Particle shape anisotropy and surface patch geometry are critical determinants of colloidal fluid phase behavior.
  • Fluid ordering due to particle elongation plays a significant role in phase transitions.
  • The findings provide insights into the critical behavior of anisotropic colloidal systems.