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

Characteristics of Fluids01:20

Characteristics of Fluids

8.9K
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...
8.9K
Characteristics of Fluids01:31

Characteristics of Fluids

1.3K
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...
1.3K
The Fluid Mosaic Model01:34

The Fluid Mosaic Model

185.8K
The fluid mosaic model was first proposed as a visual representation of research observations. The model comprises the composition and dynamics of membranes and serves as a foundation for future membrane-related studies. The model depicts the structure of the plasma membrane with a variety of components, which include phospholipids, proteins, and carbohydrates. These integral molecules are loosely bound, defining the cell’s border and providing fluidity for optimal function.
185.8K
Capillarity in Fluid01:19

Capillarity in Fluid

1.5K
Capillarity describes the movement of liquid in small spaces without external forces acting on it. The capillarity is driven by surface tension and adhesive interactions between the liquid and surrounding solid surfaces. This effect is often seen in narrow tubes, porous materials, and fine particles.
Surface tension is crucial to capillarity. It results from cohesive forces between liquid molecules at the liquid-air boundary, forming a skin that resists external forces. When the capillary tube...
1.5K
Theories of Dissolution: The Danckwerts' Model and Interfacial Barrier Model01:09

Theories of Dissolution: The Danckwerts' Model and Interfacial Barrier Model

923
Various dissolution theories provide insight into the factors that influence the dissolution rate. Danckwerts' Model suggests that turbulence, rather than a stagnant layer, characterizes the dissolution medium at the solid-liquid interface. In this model, the agitated solvent contains macroscopic packets that move to the interface via eddy currents, facilitating the absorption and delivery of the drug to the bulk solution. The regular replenishment of solvent packets maintains the...
923

You might also read

Related Articles

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

Sort by
Same author

Storage Buffer Composition Impacts Internal Structure, Freeze-Thaw Stability, and Transfection Efficiency of mRNA-Lipid Nanoparticles.

ACS nano·2026
Same author

Scalable hierarchical textile fibers toward personalized wearable atmospheric water harvesting.

Science advances·2026
Same author

Decoding collective dynamics and complexity in nanoparticle assemblies using graph theory.

Science (New York, N.Y.)·2026
Same author

Rapid Screening Method to Assess Formation Damage During Injection of Metal Oxide Nanoparticles in Sandstone.

Nanomaterials (Basel, Switzerland)·2026
Same author

Understanding Coupling in Hierarchically Doped Plasmonic Nanocrystal Metamaterials.

ACS materials Au·2026
Same author

Universal progression of structure and dynamics in colloidal nanocrystal gels during salt-accelerated aging.

Science advances·2026

Related Experiment Video

Updated: Apr 12, 2026

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

Origin and detection of microstructural clustering in fluids with spatial-range competitive interactions.

Ryan B Jadrich1, Jonathan A Bollinger1, Keith P Johnston1

  • 1McKetta Department of Chemical Engineering, University of Texas at Austin, Austin, Texas 78712, USA.

Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|May 15, 2015
PubMed
Summary

Particle clusters form in fluids with competing attractions and repulsions when thermal correlations exceed repulsion length scales. This study reveals how to detect these clusters and differentiates their dynamics.

More Related Videos

Spatial Separation of Molecular Conformers and Clusters
10:37

Spatial Separation of Molecular Conformers and Clusters

Published on: January 9, 2014

11.9K
Analyzing Mixing Inhomogeneity in a Microfluidic Device by Microscale Schlieren Technique
10:12

Analyzing Mixing Inhomogeneity in a Microfluidic Device by Microscale Schlieren Technique

Published on: June 12, 2015

9.7K

Related Experiment Videos

Last Updated: Apr 12, 2026

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
Spatial Separation of Molecular Conformers and Clusters
10:37

Spatial Separation of Molecular Conformers and Clusters

Published on: January 9, 2014

11.9K
Analyzing Mixing Inhomogeneity in a Microfluidic Device by Microscale Schlieren Technique
10:12

Analyzing Mixing Inhomogeneity in a Microfluidic Device by Microscale Schlieren Technique

Published on: June 12, 2015

9.7K

Area of Science:

  • Colloid and Soft Matter Physics
  • Statistical Mechanics

Background:

  • Fluids with competing interactions, like charge-stabilized colloids, can form structures with intermediate-range order (IRO).
  • These structures can include particle clusters, mimicking real-world colloidal dispersions.
  • Understanding cluster formation is key to predicting fluid phase behavior.

Purpose of the Study:

  • To demonstrate a method for detecting particle cluster formation in fluids with competing interactions.
  • To link cluster formation to macrophase separation phenomena in attractive fluids.
  • To differentiate the dynamics of amorphous versus microcrystalline clusters.

Main Methods:

  • Utilizing computational simulations to model fluid behavior.
  • Applying analytical theory to interpret simulation data.
  • Analyzing the static structure factor to identify structural ordering and cluster formation.

Main Results:

  • Clusters emerge when the thermal correlation length, indicated by the IRO peak in the structure factor, surpasses the interparticle repulsion length scale.
  • The static structure factor can be used to detect and characterize cluster formation.
  • Qualitative differences in dynamics were observed between amorphous and microcrystalline clusters.

Conclusions:

  • The study provides a framework for detecting and understanding particle clusters in complex fluids.
  • Findings link equilibrium cluster formation to macrophase separation, offering insights into phase transitions.
  • Distinguishing cluster dynamics aids in predicting the macroscopic behavior of colloidal systems.