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

Diffusion01:12

Diffusion

221.5K
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...
221.5K
Diffusion01:21

Diffusion

6.5K
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...
6.5K
Theories of Dissolution: Diffusion Layer Model01:15

Theories of Dissolution: Diffusion Layer Model

1.8K
Dissolution, the process by which drug particles dissolve in a solvent, is explained by the diffusion layer model, a theoretical framework that simulates the absorption of oral drugs and allows us to analyze experimental data.
This process starts with a thin layer, saturated with the drug, forming at the interface between the solid and liquid. The solute then diffuses from this layer into the main solution. The Noyes-Whitney equation suggests that the rate of dissolution relies on the diffusion...
1.8K
Gas Chromatography: Types of Columns and Stationary Phases01:17

Gas Chromatography: Types of Columns and Stationary Phases

2.5K
Gas chromatography (GC) relies on stationary phases to separate and analyze components in a sample. There are two main types of stationary phases: liquid and solid. Liquid stationary phases are non-volatile, thermally stable, and chemically inert liquids coated onto the column. Solid stationary phases are particles of adsorbent material, such as silica gel or molecular sieves.
For an analyte to remain on the column for a sufficient amount of time, it must exhibit some level of compatibility (or...
2.5K
Physiological Pharmacokinetic Models: Blood Flow-Limited Versus Diffusion-Limited Models00:57

Physiological Pharmacokinetic Models: Blood Flow-Limited Versus Diffusion-Limited Models

353
Physiological pharmacokinetic models, often called flow-limited or perfusion models, typically assume a swift drug distribution between tissue and venous blood, creating a rapid drug equilibrium. This premise is based on the idea that drug diffusion is extremely fast, and the cell membrane presents no barrier to drug permeation. In this scenario, where no drug binding occurs, the drug concentration in the tissue equals that of the venous blood leaving the tissue. This greatly simplifies the...
353
Facilitated Diffusion01:16

Facilitated Diffusion

1.3K
The plasma membrane, a critical structure in cellular biology, houses an array of transporters, or carrier proteins, interspersed within its lipid bilayer. These proteins play a crucial role in solute transport through facilitated diffusion, a form of passive diffusion that uses transporters to move the molecules across the membrane.
In this process, substrates such as organic compounds and ions interact with a transporter on one side, triggering conformational changes in proteins that enable...
1.3K

You might also read

Related Articles

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

Sort by
Same author

Fick's law and phase transitions in the Lorentz circuit.

Physical review. E·2026
Same author

A Hybrid Approach to Model Reduction of Generalized Langevin Dynamics.

Journal of statistical physics·2025
Same author

An ECG-based machine-learning approach for mortality risk assessment in a large European population.

Journal of electrocardiology·2024
Same author

Inverse problem beyond two-body interaction: The cubic mean-field Ising model.

Physical review. E·2023
Same author

Transport and nonequilibrium phase transitions in polygonal urn models.

Chaos (Woodbury, N.Y.)·2022
Same author

Quantitative analysis of phase formation and growth in ternary mixtures upon evaporation of one component.

Physical review. E·2022
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: Feb 10, 2026

Fluorescence Recovery after Merging a Droplet to Measure the Two-dimensional Diffusion of a Phospholipid Monolayer
07:54

Fluorescence Recovery after Merging a Droplet to Measure the Two-dimensional Diffusion of a Phospholipid Monolayer

Published on: October 15, 2015

8.5K

Nonequilibrium two-dimensional Ising model with stationary uphill diffusion.

Matteo Colangeli1, Cristian Giardinà2, Claudio Giberti3

  • 1Dipartimento di Ingegneria e Scienze dell'Informazione e Matematica, Università degli Studi dell'Aquila, Via Vetoio, 67100 L'Aquila, Italy.

Physical Review. E
|May 20, 2018
PubMed
Summary
This summary is machine-generated.

Uphill diffusion, typically seen in complex systems, can occur in single-component systems with external work. This study demonstrates uphill diffusion in the Ising model, linking nonequilibrium and equilibrium dynamics.

More Related Videos

Investigating the Three-dimensional Flow Separation Induced by a Model Vocal Fold Polyp
09:58

Investigating the Three-dimensional Flow Separation Induced by a Model Vocal Fold Polyp

Published on: February 3, 2014

8.9K
Synthesis and Purification of Iodoaziridines Involving Quantitative Selection of the Optimal Stationary Phase for Chromatography
10:14

Synthesis and Purification of Iodoaziridines Involving Quantitative Selection of the Optimal Stationary Phase for Chromatography

Published on: May 16, 2014

13.1K

Related Experiment Videos

Last Updated: Feb 10, 2026

Fluorescence Recovery after Merging a Droplet to Measure the Two-dimensional Diffusion of a Phospholipid Monolayer
07:54

Fluorescence Recovery after Merging a Droplet to Measure the Two-dimensional Diffusion of a Phospholipid Monolayer

Published on: October 15, 2015

8.5K
Investigating the Three-dimensional Flow Separation Induced by a Model Vocal Fold Polyp
09:58

Investigating the Three-dimensional Flow Separation Induced by a Model Vocal Fold Polyp

Published on: February 3, 2014

8.9K
Synthesis and Purification of Iodoaziridines Involving Quantitative Selection of the Optimal Stationary Phase for Chromatography
10:14

Synthesis and Purification of Iodoaziridines Involving Quantitative Selection of the Optimal Stationary Phase for Chromatography

Published on: May 16, 2014

13.1K

Area of Science:

  • Statistical Mechanics
  • Condensed Matter Physics
  • Non-equilibrium Thermodynamics

Background:

  • Non-equilibrium systems typically exhibit downhill diffusion, moving mass from high to low density.
  • Uphill diffusion, where mass moves against the density gradient, is rare and often attributed to inter-component interactions in multicomponent systems.

Purpose of the Study:

  • To demonstrate that uphill diffusion can be a significant phenomenon in single-component systems.
  • To investigate the role of external work in driving uphill diffusion.
  • To establish a connection between equilibrium and non-equilibrium properties in physical systems.

Main Methods:

  • Utilizing the two-dimensional ferromagnetic Ising model.
  • Simulating the system in contact with two reservoirs fixing boundary magnetizations of equal magnitude and opposite sign.
  • Employing numerical methods to provide evidence for the existence of specific non-equilibrium steady states.

Main Results:

  • Demonstrated the existence of non-equilibrium steady states where uphill diffusion occurs.
  • Showed that by adjusting reservoir magnetizations, the system's current can transition from downhill to uphill.
  • Observed that the current vanishes as reservoir magnetization approaches equilibrium magnetization in the large volume limit.

Conclusions:

  • External work can induce substantial uphill diffusion even in single-component systems.
  • The Ising model provides a framework to study and observe this phenomenon.
  • A quantitative link between equilibrium and non-equilibrium dynamics has been established through the vanishing current condition.