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Model for large-area monolayer coverage of polystyrene nanospheres by spin coating

Chandramohan, A.; Sibirev, N.; Dubrovskii, V.; Petty, M.; Gallant, A.; Zeze, D.

Model for large-area monolayer coverage of polystyrene nanospheres by spin coating Thumbnail


Authors

N. Sibirev

V. Dubrovskii

M. Petty



Abstract

Nanosphere lithography, an inexpensive and high throughput technique capable of producing nanostructure (below 100 nm feature size) arrays, relies on the formation of a monolayer of self-assembled nanospheres, followed by custom-etching to produce nanometre size features on large-area substrates. A theoretical model underpinning the self-ordering process by centrifugation is proposed to describe the interplay between the spin speed and solution concentration. The model describes the deposition of a dense and uniform monolayer by the implicit contribution of gravity, centrifugal force and surface tension, which can be accounted for using only the spin speed and the solid/liquid volume ratio. We demonstrate that the spin recipe for the monolayer formation can be represented as a pathway on a 2D phase plane. The model accounts for the ratio of polystyrene nanospheres (300 nm), water, methanol and surfactant in the solution, crucial for large area uniform and periodic monolayer deposition. The monolayer is exploited to create arrays of nanoscale features using ‘short’ or ‘extended’ reactive ion etching to produce 30–60 nm (diameter) nanodots or 100–200 nm (diameter) nanoholes over the entire substrate, respectively. The nanostructures were subsequently utilized to create master stamps for nanoimprint lithography.

Citation

Chandramohan, A., Sibirev, N., Dubrovskii, V., Petty, M., Gallant, A., & Zeze, D. (2017). Model for large-area monolayer coverage of polystyrene nanospheres by spin coating. Scientific Reports, 7, Article 40888. https://doi.org/10.1038/srep40888

Journal Article Type Article
Acceptance Date Dec 12, 2016
Online Publication Date Jan 19, 2017
Publication Date Jan 19, 2017
Deposit Date Jan 20, 2017
Publicly Available Date Mar 29, 2024
Journal Scientific Reports
Publisher Nature Research
Peer Reviewed Peer Reviewed
Volume 7
Article Number 40888
DOI https://doi.org/10.1038/srep40888

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http://creativecommons.org/licenses/by/4.0/

Copyright Statement
This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/






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