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

Steady, Laminar Flow Between Parallel Plates01:17

Steady, Laminar Flow Between Parallel Plates

997
Understanding steady, laminar flow between parallel plates is essential for analyzing and designing flow in narrow rectangular channels, commonly found in various water conveyance and drainage systems. The Navier-Stokes equations govern fluid motion and are generally challenging to solve due to their nonlinearity. However, simplifications are possible in certain cases, like the steady laminar flow between parallel plates. For this scenario, we assume steady, incompressible, laminar flow.
997
Boundary Layer Characteristics01:18

Boundary Layer Characteristics

815
When a fluid encounters a solid surface, a boundary layer forms due to the interaction between the fluid's motion and the stationary surface. This phenomenon is characterized by a thin region adjacent to the surface where viscous forces dominate, influencing the fluid's velocity profile. The development of the boundary layer begins at the leading edge of the surface and evolves as the fluid moves downstream.As the fluid flows over the surface, friction between the fluid and the wall slows down...
815
Couette Flow01:22

Couette Flow

1.3K
Couette flow represents the flow of fluid between two parallel plates, with one plate fixed and the other moving with a constant velocity. This configuration allows for a simplified analysis using the Navier-Stokes equations, which govern fluid motion under conditions of viscosity and incompressibility. For Couette flow, the assumptions include a steady, laminar, incompressible flow with a zero-pressure gradient in the flow direction. This flow type is beneficial for understanding shear-driven...
1.3K
Theories of Dissolution: Diffusion Layer Model01:15

Theories of Dissolution: Diffusion Layer Model

2.2K
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...
2.2K
The Electrical Double Layer01:30

The Electrical Double Layer

154
In the region where two bulk phases meet, an intricate electric charge distribution arises due to charge transfer, ion adsorption, molecular orientation, and charge distortion. This complex distribution is commonly referred to as the electrical double layer.When a solid electrode interfaces with ions in an electrolyte solution, the speed of electron transfer dictates the rates of oxidation and reduction. The electrode acquires a charge through the escape of atoms into the solution as cations or...
154
Theories of Dissolution: The Danckwerts' Model and Interfacial Barrier Model01:09

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

908
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...
908

You might also read

Related Articles

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

Sort by
Same author

Phyllotactic Structures in Radially Growing Spatial Symmetry Breaking Systems.

Physical review letters·2025
Same author

Transport-driven chemical oscillations: a review.

Physical chemistry chemical physics : PCCP·2024
Same author

Buoyancy-Driven Chemohydrodynamic Patterns in A + B → Oscillator Two-Layer Stratifications.

Langmuir : the ACS journal of surfaces and colloids·2023
Same author

Controlling Nonlinear Dynamics of Milling Bodies in Mechanochemical Devices Driven by Pendular Forcing.

Frontiers in chemistry·2022
Same author

Making a Simple A+B→C Reaction Oscillate by Coupling to Hydrodynamic Effect.

Physical review letters·2019
Same author

Dissipative structures: From reaction-diffusion to chemo-hydrodynamic patterns.

Chaos (Woodbury, N.Y.)·2017
Same journal

Tension on dsDNA bound to ssDNA-RecA filaments may play an important role in driving efficient and accurate homology recognition and strand exchange.

Physical review. E, Statistical, nonlinear, and soft matter physics·2016
Same journal

Publisher's Note: Amplitude-phase coupling drives chimera states in globally coupled laser networks [Phys. Rev. E 91, 040901(R) (2015)].

Physical review. E, Statistical, nonlinear, and soft matter physics·2016
Same journal

Erratum: Shapes of sedimenting soft elastic capsules in a viscous fluid [Phys. Rev. E 92, 033003 (2015)].

Physical review. E, Statistical, nonlinear, and soft matter physics·2016
Same journal

Erratum: Attenuation of excitation decay rate due to collective effect [Phys. Rev. E 90, 022142 (2014)].

Physical review. E, Statistical, nonlinear, and soft matter physics·2016
Same journal

Publisher's Note: Role of connectivity and fluctuations in the nucleation of calcium waves in cardiac cells [Phys. Rev. E 92, 052715 (2015)].

Physical review. E, Statistical, nonlinear, and soft matter physics·2016
Same journal

Publisher's Note: Lattice Boltzmann approach for complex nonequilibrium flows [Phys. Rev. E 92, 043308 (2015)].

Physical review. E, Statistical, nonlinear, and soft matter physics·2016
See all related articles

Related Experiment Video

Updated: Mar 27, 2026

Magnetically Induced Rotating Rayleigh-Taylor Instability
06:42

Magnetically Induced Rotating Rayleigh-Taylor Instability

Published on: March 3, 2017

10.2K

Cross-diffusion-driven hydrodynamic instabilities in a double-layer system: General classification and nonlinear

M A Budroni1

  • 1Department of Chemistry and Pharmacy, University of Sassari, Sassari, Italy.

Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|January 15, 2016
PubMed
Summary
This summary is machine-generated.

Cross diffusion can destabilize fluid layers, leading to hydrodynamic instabilities. This study classifies these instabilities into negative cross-diffusion-driven convection (NCC) and positive cross-diffusion-driven convection (PCC) modes.

More Related Videos

Evolution of Staircase Structures in Diffusive Convection
07:28

Evolution of Staircase Structures in Diffusive Convection

Published on: September 5, 2018

7.0K
Visually Based Characterization of the Incipient Particle Motion in Regular Substrates: From Laminar to Turbulent Conditions
11:51

Visually Based Characterization of the Incipient Particle Motion in Regular Substrates: From Laminar to Turbulent Conditions

Published on: February 22, 2018

9.2K

Related Experiment Videos

Last Updated: Mar 27, 2026

Magnetically Induced Rotating Rayleigh-Taylor Instability
06:42

Magnetically Induced Rotating Rayleigh-Taylor Instability

Published on: March 3, 2017

10.2K
Evolution of Staircase Structures in Diffusive Convection
07:28

Evolution of Staircase Structures in Diffusive Convection

Published on: September 5, 2018

7.0K
Visually Based Characterization of the Incipient Particle Motion in Regular Substrates: From Laminar to Turbulent Conditions
11:51

Visually Based Characterization of the Incipient Particle Motion in Regular Substrates: From Laminar to Turbulent Conditions

Published on: February 22, 2018

9.2K

Area of Science:

  • Fluid Dynamics
  • Chemical Engineering
  • Physical Chemistry

Background:

  • Cross diffusion, where one species' flux influences another's diffusion, can induce hydrodynamic instabilities in stratified fluids.
  • Understanding these instabilities is crucial for various applications, including microemulsion systems and chemical process design.

Purpose of the Study:

  • To develop a theoretical framework for classifying cross-diffusion-induced hydrodynamic phenomena in two-layer stratifications.
  • To identify and characterize the distinct convective modes arising from cross-diffusion effects.

Main Methods:

  • Coupling Fickian diffusion with Stokes equations to derive a cross-diffusion-convection (CDC) model.
  • Implementing a specific initial concentration profile to isolate cross-diffusion effects.
  • Employing numerical simulations of the nonlinear CDC problem to validate analytical findings.

Main Results:

  • Identification of two primary hydrodynamic modes: negative cross-diffusion-driven convection (NCC) and positive cross-diffusion-driven convection (PCC).
  • Derivation of analytical conditions for convective onset based on operational cross-diffusivity and buoyancy ratio.
  • Classification of NCC and PCC scenarios within the identified parameter space, supported by simulations.

Conclusions:

  • Cross-diffusion is a significant factor in triggering hydrodynamic instabilities in stratified systems.
  • The study provides a comprehensive classification of cross-diffusion-driven convective phenomena.
  • The findings align with experimental observations in microemulsion systems, highlighting the model's applicability.