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

Surface Tension of Fluid01:22

Surface Tension of Fluid

1.7K
Surface tension is a fundamental property of fluids, occurring at the boundary between a liquid and a gas or between two immiscible liquids. This phenomenon arises from the cohesive forces between molecules at the fluid's surface, creating an effect similar to a stretched elastic membrane. Inside each fluid, molecules are equally attracted in all directions by neighboring molecules, but surface molecules experience a net inward force, resulting in surface tension.
Surface tension varies...
1.7K
Correlation of Experimental Data01:23

Correlation of Experimental Data

497
Dimensional analysis simplifies complex physical problems and guides experimental investigations, but it does not provide complete solutions. It identifies the dimensionless groups that influence a phenomenon, but experimental data is needed to establish the specific relationships and validate theoretical predictions.
For example, a spherical particle moving through a viscous fluid experiences drag. Dimensional analysis shows that the drag force depends on the particle's diameter, velocity,...
497
Surface Tension, Capillary Action, and Viscosity02:57

Surface Tension, Capillary Action, and Viscosity

33.8K
Surface Tension
The various IMFs between identical molecules of a substance are examples of cohesive forces. The molecules within a liquid are surrounded by other molecules and are attracted equally in all directions by the cohesive forces within the liquid. However, the molecules on the surface of a liquid are attracted only by about one-half as many molecules. Because of the unbalanced molecular attractions on the surface molecules, liquids contract to form a shape that minimizes the number...
33.8K
Theories of Dissolution: The Danckwerts' Model and Interfacial Barrier Model01:09

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

835
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...
835
Capillarity in Fluid01:19

Capillarity in Fluid

1.3K
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...
1.3K
Major Losses in Pipes01:28

Major Losses in Pipes

2.1K
When a fluid flows through a pipe, it experiences energy losses due to frictional resistance along the pipe walls, known as major losses. These energy losses result in a pressure drop, which varies based on the flow conditions — whether laminar or turbulent — and the specific physical properties of the fluid and pipe.
Fluid flow can be classified as laminar or turbulent, primarily based on the Reynolds number. This dimensionless number reflects the relative influence of inertial to viscous...
2.1K

You might also read

Related Articles

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

Sort by
Same author

New Framework for Interfacial Statistics: Exact n-Point Correlations of Gaussian Level Sets.

Physical review letters·2026
Same author

Molecular dynamics and machine learning insights into oil-brine interfacial tension: Uncovering roles of dissolved gases and salinity.

Journal of colloid and interface science·2026
Same author

The role of surface material properties on the behavior of ionic liquids in nanoconfinement: A critical review and perspective of theory and simulations.

Advances in colloid and interface science·2025
Same author

Evaluation of three-point correlation functions from structural images on CPU and GPU architectures: Accounting for anisotropy effects.

Physical review. E·2024
Same author

Mechanism of overscreening breakdown by molecular-scale electrode surface morphology in asymmetric ionic liquids.

Journal of colloid and interface science·2024
Same author

Robust surface-correlation-function evaluation from experimental discrete digital images.

Physical review. E·2023

Related Experiment Video

Updated: Feb 20, 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

Density functional theory formulation for fluid adsorption on correlated random surfaces.

Timur Aslyamov1, Aleksey Khlyupin1

  • 1Schlumberger Moscow Research Center, 13, Pudovkina St., Moscow 119285, Russia.

The Journal of Chemical Physics
|October 23, 2017
PubMed
Summary

We developed a new random surface density functional theory (RSDFT) to model fluid behavior on rough surfaces. This approach accurately predicts gas adsorption on heterogeneous materials, connecting surface geometry to thermodynamic properties.

More Related Videos

Author Spotlight: Characterizing Porous Materials for Aiding the Development of Robust Metal-Organic Frameworks with Adsorption Behavior
06:45

Author Spotlight: Characterizing Porous Materials for Aiding the Development of Robust Metal-Organic Frameworks with Adsorption Behavior

Published on: March 8, 2024

10.1K
Microtensiometer for Confocal Microscopy Visualization of Dynamic Interfaces
08:05

Microtensiometer for Confocal Microscopy Visualization of Dynamic Interfaces

Published on: September 9, 2022

2.9K

Related Experiment Videos

Last Updated: Feb 20, 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
Author Spotlight: Characterizing Porous Materials for Aiding the Development of Robust Metal-Organic Frameworks with Adsorption Behavior
06:45

Author Spotlight: Characterizing Porous Materials for Aiding the Development of Robust Metal-Organic Frameworks with Adsorption Behavior

Published on: March 8, 2024

10.1K
Microtensiometer for Confocal Microscopy Visualization of Dynamic Interfaces
08:05

Microtensiometer for Confocal Microscopy Visualization of Dynamic Interfaces

Published on: September 9, 2022

2.9K

Area of Science:

  • Physical Chemistry
  • Materials Science
  • Statistical Mechanics

Background:

  • Accurate thermodynamic descriptions of confined fluids are crucial.
  • Existing models often simplify solid surface geometry, limiting predictive power.
  • Understanding fluid-surface interactions is key in materials science.

Purpose of the Study:

  • To introduce a novel random surface density functional theory (RSDFT) formulation.
  • To account for geometric heterogeneity and correlation properties of solid surfaces.
  • To connect surface roughness to the thermodynamic behavior of confined fluids.

Main Methods:

  • Developed a stochastic model for solid surfaces incorporating geometric correlations.
  • Utilized effective fluid-solid potentials and modified Helmholtz free energy for Lennard-Jones fluids.
  • Applied RSDFT to calculate low-temperature adsorption of argon and nitrogen on carbon black.

Main Results:

  • RSDFT accurately predicts adsorption isotherms for argon and nitrogen on heterogeneous surfaces.
  • Calculated adsorption values show good agreement with experimental data.
  • Demonstrated the significant impact of surface roughness on adsorption behavior.

Conclusions:

  • The developed RSDFT formalism provides a rigorous link between stochastic surface descriptions and confined fluid thermodynamics.
  • This approach enhances the understanding of fluid behavior on complex, real-world surfaces.
  • RSDFT offers a powerful tool for predicting material properties based on surface characteristics.