Tunability of Self-Organized Structures Based on Thermodynamic Flux

Area of Science:

• Physical Chemistry
• Materials Science
• Complex Systems

Background:

• Nature self-organizes matter into complex structures.
• Understanding selection rules for self-organization is crucial for science and technology.
• Reaction-diffusion systems provide models for studying self-organization.

Purpose of the Study:

• To explore the selection rule governing self-organization in reaction-diffusion systems.
• To investigate the Liesegang phenomenon as a model for periodic pattern formation.
• To understand how mass flux influences self-organized structure and periodicity.

Main Methods:

• Systematic experimental variation of mass flux in the Liesegang phenomenon.
• Observation of self-organized periodic precipitation patterns.
• Numerical analysis to attribute structural transitions to entropy production.

Main Results:

• Low mass flux resulted in vertically periodic patterns.
• High mass flux led to horizontally periodic patterns.
• A structural transition from vertical to horizontal periodicity was observed at a crossover flux where entropy production reversed.

Conclusions:

• Self-organized structures transition between vertical and horizontal periodicity based on mass flux.
• The selection of self-organized patterns is driven by maximizing entropy production rate.
• Findings advance understanding of nature's control over self-organized structures and geometry.