Abstract

Numerous mechanisms have been studied for chemical reactions to provide quantitative predictions on how atoms spatially arrange into molecules. In nanoscale colloidal systems, however, less is known about the physical rules governing their spatial organization, i.e., self-assembly, into functional materials. Here, we monitor real-time self-assembly dynamics at the single nanoparticle level, which reveal marked similarities to foundational principles of polymerization. Specifically, using the prototypical system of gold triangular nanoprisms, we show that colloidal self-assembly is analogous to polymerization in three aspects: ensemble growth statistics following models for step-growth polymerization, with nanoparticles as linkable “monomers”; bond angles determined by directional internanoparticle interactions; and product topology determined by the valency of monomeric units. Liquid-phase transmission electron microscopy imaging and theoretical modeling elucidate the nanometer-scale mechanisms for these polymer-like phenomena in nanoparticle systems. The results establish a quantitative conceptual framework for self-assembly dynamics that can aid in designing future nanoparticle-based materials.

Details

Title
Imaging the polymerization of multivalent nanoparticles in solution
Author
Kim, Juyeong 1 ; Ou, Zihao 2   VIAFID ORCID Logo  ; Jones, Matthew R 3   VIAFID ORCID Logo  ; Song, Xiaohui 1 ; Chen, Qian 4   VIAFID ORCID Logo 

 Department of Materials Science and Engineering, University of Illinois, Urbana, IL, USA; Frederick Seitz Materials Research Laboratory, University of Illinois, Urbana, IL, USA 
 Department of Materials Science and Engineering, University of Illinois, Urbana, IL, USA 
 Department of Chemistry, Rice University, Houston, TX, USA 
 Department of Materials Science and Engineering, University of Illinois, Urbana, IL, USA; Frederick Seitz Materials Research Laboratory, University of Illinois, Urbana, IL, USA; Department of Chemistry, University of Illinois, Urbana, IL, USA 
Pages
1-10
Publication year
2017
Publication date
Oct 2017
Publisher
Nature Publishing Group
e-ISSN
20411723
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
1945736813
Copyright
© 2017. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.