Issue 1, 2017

Topological structure prediction in binary nanoparticle superlattices

Abstract

Systems of spherical nanoparticles with capping ligands have been shown to self-assemble into beautiful superlattices of fascinating structure and complexity. In this paper, I show that the spherical geometry of the nanoparticle imposes constraints on the nature of the topological defects associated with the capping ligand and that such topological defects control the structure and stability of the superlattices that can be assembled. All these considerations form the basis for the orbifold topological model (OTM) described in this paper. The model quantitatively predicts the structure of super-lattices where capping ligands are hydrocarbon chains in excellent agreement with experimental results, explains the appearance of low packing fraction lattices as equilibrium, why certain similar structures are more stable (bccAB6vs. CaB6, AuCu vs. CsCl, etc.) and many other experimental observations.

Graphical abstract: Topological structure prediction in binary nanoparticle superlattices

Article information

Article type
Paper
Submitted
23 三月 2016
Accepted
25 四月 2016
First published
27 四月 2016

Soft Matter, 2017,13, 147-157

Topological structure prediction in binary nanoparticle superlattices

A. Travesset, Soft Matter, 2017, 13, 147 DOI: 10.1039/C6SM00713A

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