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Origami Inspired Self-assembly of Patterned and Reconfigurable Particles

Origami Inspired Self-assembly of Patterned and Reconfigurable Particles

Published on: February 4, 2013

Design principles for nonequilibrium self-assembly.

Michael Nguyen^1,2, Suriyanarayanan Vaikuntanathan^3,2

¹Department of Chemistry, The University of Chicago, Chicago, IL, 60637.

Proceedings of the National Academy of Sciences of the United States of America

|December 3, 2016

Summary

This summary is machine-generated.

We derived design principles for controlled self-assembly far from equilibrium using stochastic thermodynamics. These principles guide the creation of specific configurations under non-equilibrium conditions, modifying equilibrium landscapes.

Keywords:

nonequilibrium self-assembly pattern formation second law of thermodynamics self-assembly stochastic thermodynamics

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Area of Science:

Thermodynamics
Statistical Mechanics
Materials Science

Background:

Self-assembly is crucial for creating complex structures.
Equilibrium self-assembly is well-understood but limited.
Far-from-equilibrium systems offer new possibilities for controlled assembly.

Purpose of the Study:

To derive design principles for controlled self-assembly far from equilibrium.
To understand how non-equilibrium conditions modify self-assembly landscapes.
To provide a theoretical framework for designing novel self-assembled materials.

Main Methods:

Utilizing the formalism of stochastic thermodynamics.
Analyzing the constraints imposed by non-equilibrium conditions on assembly pathways.
Developing theoretical models for finite non-equilibrium drive.

Main Results:

A set of design principles for controlled self-assembly under non-equilibrium conditions.
Identification of constraints on achievable configurations.
Insights into the modification of equilibrium self-assembly landscapes.

Conclusions:

Stochastic thermodynamics provides a powerful framework for designing self-assembly processes.
Controlled self-assembly far from equilibrium is achievable with specific design principles.
Understanding non-equilibrium effects is key to expanding the capabilities of self-assembly.