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

Theories of Dissolution: Diffusion Layer Model01:15

Theories of Dissolution: Diffusion Layer Model

1.1K
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...
1.1K
Phase Transitions: Vaporization and Condensation02:39

Phase Transitions: Vaporization and Condensation

19.1K
The physical form of a substance changes on changing its temperature. For example, raising the temperature of a liquid causes the liquid to vaporize (convert into vapor). The process is called vaporization—a surface phenomenon. Vaporization occurs when the thermal motion of the molecules overcome the intermolecular forces, and the molecules (at the surface) escape into the gaseous state. When a liquid vaporizes in a closed container, gas molecules cannot escape. As these gas phase...
19.1K
Phase Transitions: Sublimation and Deposition02:33

Phase Transitions: Sublimation and Deposition

18.4K
Some solids can transition directly into the gaseous state, bypassing the liquid state, via a process known as sublimation. At room temperature and standard pressure, a piece of dry ice (solid CO2) sublimes, appearing to gradually disappear without ever forming any liquid. Snow and ice sublimate at temperatures below the melting point of water, a slow process that may be accelerated by winds and the reduced atmospheric pressures at high altitudes. When solid iodine is warmed, the solid sublimes...
18.4K
Passive Diffusion: Overview and Kinetics01:17

Passive Diffusion: Overview and Kinetics

869
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...
869
Diffusion01:12

Diffusion

207.8K
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...
207.8K
Behavior of Gas Molecules: Molecular Diffusion, Mean Free Path, and Effusion03:48

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

29.8K
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...
29.8K

You might also read

Related Articles

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

Sort by
Same author

Engineering brain organoids and organ-on-chip systems for modeling neurodevelopmental and neurodegenerative pathophysiology.

Neurological research·2025
Same author

Circular RNA vaccines: Pioneering the next-gen cancer immunotherapy.

Cancer pathogenesis and therapy·2025
Same author

Non-Markovian Quantum Mpemba Effect.

Physical review letters·2025
Same author

Right data, wrong data: Statistical sampling and the making of modern agriculture in India.

Social studies of science·2025
Same author

Generalized Hydrodynamic Description of the Page Curve-like Dynamics of a Freely Expanding Fermionic Gas.

Physical review letters·2024
Same author

Extracting dynamical maps of non-Markovian open quantum systems.

The Journal of chemical physics·2024
Same journal

Erratum: Bacterial Turbulence at Compressible Fluid Interfaces [Phys. Rev. Lett. 136, 138301 (2026)].

Physical review letters·2026
Same journal

Unveiling Light-Quark Yukawa Flavor Structure via Dihadron Fragmentation at Lepton Colliders.

Physical review letters·2026
Same journal

Adaptable Route to Fast Coherent State Transport via Bang-Bang-Bang Protocols.

Physical review letters·2026
Same journal

Topological Transition and Emergence of Elasticity of Dislocation in Skyrmion Lattice: Beyond Kittel's Magnetic-Polar Analogy.

Physical review letters·2026
Same journal

Pound-Drever-Hall Method for Superconducting-Qubit Readout.

Physical review letters·2026
Same journal

Coupling a ^{73}Ge Nuclear Spin to an Electrostatically Defined Quantum Dot in Silicon.

Physical review letters·2026
See all related articles

Related Experiment Video

Updated: Oct 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

8.8K

Subdiffusive Phases in Open Clean Long-Range Systems.

Archak Purkayastha1, Madhumita Saha2,3, Bijay Kumar Agarwalla2

  • 1School of Physics, Trinity College Dublin, College Green, Dublin 2, Ireland.

Physical Review Letters
|December 24, 2021
PubMed
Summary
This summary is machine-generated.

Ordered fermionic systems with power-law hopping exhibit two novel subdiffusive phases when connected to baths. These phases, driven by chemical potential, show unique transitions unlike known quantum phenomena.

More Related Videos

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

8.7K
Evolution of Staircase Structures in Diffusive Convection
07:28

Evolution of Staircase Structures in Diffusive Convection

Published on: September 5, 2018

6.7K

Related Experiment Videos

Last Updated: Oct 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

8.8K
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

8.7K
Evolution of Staircase Structures in Diffusive Convection
07:28

Evolution of Staircase Structures in Diffusive Convection

Published on: September 5, 2018

6.7K

Area of Science:

  • Condensed Matter Physics
  • Quantum Transport Phenomena

Background:

  • One-dimensional (1D) fermionic systems with power-law hopping exhibit ballistic transport in isolation.
  • Understanding transport properties in open quantum systems is crucial for novel electronic devices.

Purpose of the Study:

  • To investigate the transport properties of a 1D ordered fermionic lattice system connected to two baths with different chemical potentials.
  • To identify and characterize novel quantum phases and phase transitions in this open system scenario.

Main Methods:

  • Theoretical analysis of a 1D ordered fermionic lattice system.
  • Investigation of system behavior under the influence of two baths with differing chemical potentials at zero temperature.
  • Analysis of conductance scaling with system size to identify subdiffusive behavior.

Main Results:

  • Discovery of two distinct phases exhibiting subdiffusive scaling of conductance with system size.
  • Observation of two chemical-potential-driven phase transitions from subdiffusive to ballistic transport.
  • These subdiffusive phases are robust against many-body interactions and are universal properties.

Conclusions:

  • The open system introduces novel quantum phases and transitions absent in isolated systems.
  • The identified subdiffusive phases and transitions are universal for 1D fermionic systems with power-law hopping.
  • These findings offer new insights into nonequilibrium quantum phase transitions.