In this work, we present a binary assembly model that can predict the co-assembly structure and spatial frequency spectra of monodispersed nanoparticles with two different particle sizes. The approach relies on an iterative algorithm based on geometric constraints, which can simulate the assembly patterns of particles with two distinct diameters, size distributions, and at various mixture ratios on a planar surface. The two-dimensional spatial-frequency spectra of the modeled assembles can be analyzed using fast Fourier transform analysis to examine their frequency content. The simulated co-assembly structures and spectra are compared with assembled nanoparticles fabricated using transfer coating method are in qualitative agreement with the experimental results. The co-assembly model can also be used to predict the peak spatial frequency and the full-width at half-maximum bandwidth, which can lead to the design of the structure spectra by selection of different monodispersed particles. This work can find applications in fabrication of non-periodic nanostructures for functional surfaces, light extraction structures, and broadband nanophotonics.
The large‐scale fabrication of two‐dimensional periodic nanostructures in high quality holds great promises for building novel nanoscale devices. They have been conventionally produced using interface‐mediated self‐assembly strategies such as the Langmuir‐Blodgett and oil‐water interfacial assembly methods, which however are limited by the stringent requirements for the hydrophilicity/hydrophobicity of the particle surface. In this article, we review the recent progress on the air‐liquid interfacial self‐assembly to demonstrate that such strategies are simple, inexpensive, effective, scalable, and versatile in the fabrication of two‐dimensional periodic nanostructured arrays. They can be successfully employed to assemble nanoparticles of various compositions and surface properties into periodic nanostructured monolayer films, which find many important applications, for example, in the construction of colorimetric sensors for gas, chemical, and biomedical detection.
more » « less- Award ID(s):
- 1810485
- NSF-PAR ID:
- 10117873
- Publisher / Repository:
- Wiley Blackwell (John Wiley & Sons)
- Date Published:
- Journal Name:
- ChemNanoMat
- Volume:
- 5
- Issue:
- 11
- ISSN:
- 2199-692X
- Page Range / eLocation ID:
- p. 1338-1360
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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