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Updated: Aug 27, 2025

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Published on: January 31, 2020
Spatial programming of self-organizing chemical systems using sustained physicochemical gradients from reaction,
Anne-Déborah C Nguindjel1, Pieter J de Visser1, Mitch Winkens1
1Institute for Molecules and Materials, Radboud University, Nijmegen, The Netherlands. p.korevaar@science.ru.nl.
Chemical reactions can drive self-organization in synthetic systems by creating out-of-equilibrium gradients. These gradients direct and sustain molecular and colloidal assembly into complex patterns and dynamic structures.
Area of Science:
- Chemical self-organization
- Synthetic systems design
- Physicochemical processes
Background:
- Living organisms utilize chemical self-organization for structure formation.
- Spatial programmability is a key challenge in directing synthetic self-organization.
- Thermodynamic equilibrium typically leads to homogeneous solutions or simple equilibrium structures.
Purpose of the Study:
- To explore out-of-equilibrium gradients for spatial control in self-organization.
- To present design principles for sustained chemical self-organization.
- To bridge chemical reactions and assembly into programmable organization.
Main Methods:
- Coupling chemical reactions with diffusion and hydrodynamics to create gradients.
- Utilizing reaction-diffusion coupling, reaction-convection, Marangoni effect, and diffusiophoresis.
- Employing chemical reactions to sustain gradients and prevent decay to equilibrium.
Main Results:
- Physicochemical gradients can direct self-organization from homogeneous starting conditions.
- Gradients are essential for sustaining organization against thermodynamic equilibrium.
- Four distinct design principles (reaction-diffusion, reaction-convection, Marangoni effect, diffusiophoresis) were highlighted.
Conclusions:
- Chemical gradients offer a powerful strategy for programming self-organization in synthetic systems.
- These principles enable the translation of chemical reactions into spatial organization of molecules, ions, and colloids.
- Potential applications include patterned solutions, dynamic architectures, and collective swarm behavior across scales.
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