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

Correlation of Experimental Data01:23

Correlation of Experimental Data

411
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,...
411
Behavior of Gas Molecules: Molecular Diffusion, Mean Free Path, and Effusion03:48

Behavior of Gas Molecules: Molecular Diffusion, Mean Free Path, and Effusion

30.8K
Although gaseous molecules travel at tremendous speeds (hundreds of meters per second), they collide with other gaseous molecules and travel in many different directions before reaching the desired target. At room temperature, a gaseous molecule will experience billions of collisions per second. The mean free path is the average distance a molecule travels between collisions. The mean free path increases with decreasing pressure; in general, the mean free path for a gaseous molecule will be...
30.8K
Diffusion01:12

Diffusion

214.5K
Diffusion is the passive movement of substances down their concentration gradients—requiring no expenditure of cellular energy. Substances, such as molecules or ions, diffuse from an area of high concentration to an area of low concentration in the cytosol or across membranes. Eventually, the concentration will even out, with the substance moving randomly but causing no net change in concentration. Such a state is called dynamic equilibrium, which is essential for maintaining overall...
214.5K
Diffusion01:21

Diffusion

5.9K
Diffusion is a type of passive transport. In passive transport, a substance tends to move from an area of high concentration to an area of low concentration until the concentration is equal across the space. For example, take the diffusion of substances through the air. When someone opens a perfume bottle in a room filled with people, the perfume is at its highest concentration in the bottle and is at its lowest at the edges of the room. The perfume vapor will diffuse, or spread away, from the...
5.9K
Protein Diffusion in the Membrane01:24

Protein Diffusion in the Membrane

5.3K
Proteins show rotational as well as lateral diffusion across the membrane. The lateral diffusion of proteins was confirmed through the cell fusion experiment where mouse and human cells were fused, resulting in hybrid cells. When the human and mouse cells fused, the specific membrane proteins on human and mouse cells were marked with the red and green-fluorescent markers, respectively. Initially, the red and green fluorescence was located on the respective hemisphere of the cell. As time...
5.3K
Passive Diffusion: Overview and Kinetics01:17

Passive Diffusion: Overview and Kinetics

1.1K
Passive diffusion is a critical process that allows small lipophilic drugs to cross the cell membrane along a concentration gradient. This mechanism's efficiency depends on four primary factors: the membrane's surface area, the drug's lipid-water partition coefficient, the concentration gradient, and the membrane's thickness.
When administered orally, drugs establish a substantial concentration gradient between the gastrointestinal (GI) lumen and the bloodstream, expediting...
1.1K

You might also read

Related Articles

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

Sort by
Same author

MixPI: Mixed-time slicing path integral software for quantized molecular dynamics simulations.

The Journal of chemical physics·2026
Same author

Magnetic Fields Enrich Paramagnetic Ion Concentrations via Magnetophoresis and Magnet-Induced Convection.

The journal of physical chemistry. B·2026
Same author

Lattice-scale variations in viscosity are correlated with solution structure at mineral-water interfaces.

Journal of colloid and interface science·2026
Same author

Jamming and Yielding in Dense Suspensions.

Annual review of chemical and biomolecular engineering·2026
Same author

Impact of solvent forces and broken symmetry on the assembly of designed proteins at a liquid-solid interface.

Nature communications·2026
Same author

Simulating the Photochemical Birth of the Hydrated Electron in Liquid Water.

Nature communications·2026
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: Dec 8, 2025

The Diffusion of Passive Tracers in Laminar Shear Flow
08:01

The Diffusion of Passive Tracers in Laminar Shear Flow

Published on: May 1, 2018

8.9K

Correlation function approach for diffusion in confined geometries.

Bruce J Palmer1, Jaehun Chun1,2, Jeffrey F Morris2

  • 1Pacific Northwest National Laboratory, Richland, Washington 99354, USA.

Physical Review. E
|September 18, 2020
PubMed
Summary
This summary is machine-generated.

This study introduces a method to extract spatially varying transport coefficients from molecular simulations. This approach reveals sharp changes in fluid behavior near boundaries, aiding the development of coarse-grained models for nanoscale transport.

More Related Videos

Dual-Color Fluorescence Cross-Correlation Spectroscopy to Study Protein-Protein Interaction and Protein Dynamics in Live Cells
14:12

Dual-Color Fluorescence Cross-Correlation Spectroscopy to Study Protein-Protein Interaction and Protein Dynamics in Live Cells

Published on: December 11, 2021

5.8K
Molecular Diffusion in Plasma Membranes of Primary Lymphocytes Measured by Fluorescence Correlation Spectroscopy
12:06

Molecular Diffusion in Plasma Membranes of Primary Lymphocytes Measured by Fluorescence Correlation Spectroscopy

Published on: February 1, 2017

11.4K

Related Experiment Videos

Last Updated: Dec 8, 2025

The Diffusion of Passive Tracers in Laminar Shear Flow
08:01

The Diffusion of Passive Tracers in Laminar Shear Flow

Published on: May 1, 2018

8.9K
Dual-Color Fluorescence Cross-Correlation Spectroscopy to Study Protein-Protein Interaction and Protein Dynamics in Live Cells
14:12

Dual-Color Fluorescence Cross-Correlation Spectroscopy to Study Protein-Protein Interaction and Protein Dynamics in Live Cells

Published on: December 11, 2021

5.8K
Molecular Diffusion in Plasma Membranes of Primary Lymphocytes Measured by Fluorescence Correlation Spectroscopy
12:06

Molecular Diffusion in Plasma Membranes of Primary Lymphocytes Measured by Fluorescence Correlation Spectroscopy

Published on: February 1, 2017

11.4K

Area of Science:

  • Computational physics
  • Materials science
  • Fluid dynamics

Background:

  • Understanding nanoscale transport phenomena is crucial for developing advanced materials and devices.
  • Existing models often struggle to capture the complex behavior of fluids confined at the nanoscale.

Purpose of the Study:

  • To develop a formalism for extracting spatially varying transport coefficients from molecular simulations.
  • To apply this formalism to a Lennard-Jones fluid confined in a nanochannel.
  • To investigate the influence of liquid-solid interactions on transport properties.

Main Methods:

  • A numerical grid was applied to the simulation domain, projecting fluid properties onto grid cells.
  • Time correlation functions between properties in different grid cells were calculated.
  • A fitting procedure was used to extract spatially varying diffusion coefficients.

Main Results:

  • Transport behavior was found to vary sharply near the liquid-solid boundary.
  • These variations were dependent on the specifics of the liquid-solid interaction.
  • Quantitative differences between reduced and detailed models were observed and attributed to assumptions in transport equations.

Conclusions:

  • The developed method effectively extracts spatially varying transport coefficients from molecular simulations.
  • The findings highlight the significant impact of boundary interactions on nanoscale fluid transport.
  • This approach can guide the development of coarse-grained equations for modeling nanoscale transport phenomena.