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Turing patterns on radially growing domains: experiments and simulations
Christopher Konow1, Noah H Somberg1, Jocelyne Chavez2
1Department of Chemistry, Brandeis University, MS 015, Waltham, MA 02454, USA. dolnik@brandeis.edu.
Physical Chemistry Chemical Physics : PCCP
|March 13, 2019
Summary
Turing pattern formation in a growing system depends on radial growth rate. Faster growth yields concentric rings, while slower growth produces perpendicular patterns, revealing distinct growth modes.
Area of Science:
- Chemical kinetics
- Pattern formation
- Reaction-diffusion systems
Background:
- Turing patterns are complex spatial structures arising from reaction-diffusion processes.
- Radial growth introduces dynamic boundaries that influence pattern development.
- Photosensitive reactions offer a method to control pattern formation.
Purpose of the Study:
- To investigate the influence of radial growth rate on Turing pattern morphology.
- To identify and characterize different growth modes in a photosensitive reaction-diffusion system.
- To understand pattern formation dynamics in a growing two-dimensional system.
Main Methods:
- Utilizing a photosensitive chlorine dioxide-iodine-malonic acid reaction under controlled illumination.
- Experimentally varying the linear radial growth rate of a non-illuminated domain.
- Performing numerical simulations using the Lengyel-Epstein model with modifications for photosensitivity.
Main Results:
- Observed that faster radial growth leads to Turing patterns forming concentric rings parallel to the boundary.
- Found that slower radial growth results in patterns forming perpendicular to the growing boundary.
- Identified three distinct growth modes for Turing patterns, correlated with the radial growth rate.
Conclusions:
- The radial growth rate is a critical factor determining Turing pattern morphology in this system.
- The study provides insights into pattern formation mechanisms in dynamic, growing environments.
- Findings may inform understanding of pattern development in biological systems with growth components.
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