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 Experiment Videos

Chaotic mixing induced transitions in reaction-diffusion systems.

Zoltan Neufeld1, Peter H. Haynes, Tamas Tel

  • 1Department of Applied Mathematics and Theoretical Physics, University of Cambridge, Silver Street, Cambridge CB3 9EW, United Kingdom.

Chaos (Woodbury, N.Y.)
|June 5, 2003
PubMed
Summary

Localized chemical perturbations behave differently based on fluid flow stirring rates. Fast stirring leads to decay, while slow stirring causes propagation as filaments, independent of initial conditions.

Related Concept Videos

You might also read

Related Articles

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

Sort by
Same author

Introduction to the Focus Issue: Nonautonomous dynamics in the climate sciences.

Chaos (Woodbury, N.Y.)·2026
Same author

Mechanical cell competition in a model of epithelial layer with size dependent proliferation.

Mathematical medicine and biology : a journal of the IMA·2025
Same author

Discovery of an embryonically derived bipotent population of endothelial-macrophage progenitor cells in postnatal aorta.

Nature communications·2024
Same author

Modelling the effect of cell motility on mixing and invasion in epithelial monolayers.

Journal of biological physics·2024
Same author

Modelling of Tissue Invasion in Epithelial Monolayers.

Life (Basel, Switzerland)·2023
Same author

Characterizing chaos in systems subjected to parameter drift.

Physical review. E·2022

Area of Science:

  • Chemical kinetics
  • Fluid dynamics
  • Nonlinear dynamics

Background:

  • Chemical systems can exhibit multiple stable states.
  • Fluid flow can significantly alter chemical reaction dynamics.

Purpose of the Study:

  • To investigate the impact of fluid flow stirring on localized perturbations in chemical systems.
  • To identify distinct regimes of perturbation evolution based on stirring rate.

Main Methods:

  • Numerical simulations of chemical systems under fluid flow.
  • Analysis of perturbation behavior in closed and open flow systems.
  • Development of a one-dimensional "mean-strain" model.

Main Results:

  • Two regimes identified: decay to homogeneity (fast stirring) and filament propagation (slow stirring).

Related Experiment Videos

  • Filament width is determined by stirring and reaction rates, not initial perturbation.
  • Model explains interplay between reaction-diffusion and chaotic advection.
  • Conclusions:

    • Stirring rate critically controls the fate of localized chemical perturbations.
    • Filament formation is a robust phenomenon driven by advection and reaction.
    • The mean-strain model effectively captures the essential dynamics of filament evolution.