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Application of the Spatial Distribution Function to Colloidal Ordering

Mac Fhionnlaoich, N; Qi, R; Guldin, S; (2019) Application of the Spatial Distribution Function to Colloidal Ordering. Langmuir , 35 (50) pp. 16605-16611. 10.1021/acs.langmuir.9b02877. Green open access

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Abstract

2D colloidal assembly is a vital process in the fabrication of nanostructured devices and receives widespread attention in fundamental research. Characterizing the ordering is crucial to develop an understanding of the driving forces behind the assembly and to optimize processing conditions. Image analysis offers a direct evaluation pathway, typically via the radial distribution function or the 2D fast Fourier transform. Both methods have inherent limitations; the former provides no angular dependence, while the latter is challenged when confronted with imperfection on the mean size, spacing, and coverage of the building blocks. Here, we introduce the 2D spatial distribution function (SDF) as an alternative pathway to evaluate colloidal ordering. We benchmark the method in case studies of prominent examples and provide a tool kit for implementation, including an ImageJ plugin and the standalone software CORDERLY. Application and interpretation are straightforward and particularly powerful to analyze and compare colloidal assemblies with limited order.

Type: Article
Title: Application of the Spatial Distribution Function to Colloidal Ordering
Open access status: An open access version is available from UCL Discovery
DOI: 10.1021/acs.langmuir.9b02877
Publisher version: https://doi.org/10.1021/acs.langmuir.9b02877
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Group theory, Chemical structure, Defects, Distribution function, Order
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Chemical Engineering
URI: https://discovery.ucl.ac.uk/id/eprint/10087952
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