Please use this identifier to cite or link to this item:
https://hdl.handle.net/2440/122393
Citations | ||
Scopus | Web of Science® | Altmetric |
---|---|---|
?
|
?
|
Type: | Journal article |
Title: | Simple method for estimating the surface area of layered graphene-based thin films |
Author: | Horn, M.R. Williams, F. Dubal, D. MacLeod, J. Motta, N. |
Citation: | ChemSusChem: chemistry and sustainability, energy and materials, 2020; 13(6):1613-1620 |
Publisher: | Wiley |
Issue Date: | 2020 |
ISSN: | 1864-5631 1864-564X |
Statement of Responsibility: | Michael R. Horn, Fraser Williams, Deepak Dubal, Jennifer MacLeod, and Nunzio Motta |
Abstract: | Thin films, papers, or foils produced from graphene-based materials have been the focus of considerable research interest in recent years. They have a range of applications including energy storage, selective filtration of liquids, and gas storage. For all of these applications, the critical attribute of the films is their pore volume. However, there remains a considerable challenge around characterizing the accessible microscopic surface area of the materials in their intended state of application. In this work, an image-processing-based approach is presented for estimating the lower threshold of specific surface area for graphene-based films that have a typical multilayered structure. Canny edge detection is used together with tortuosity measurements to infer sheet areas from layer edges. The method serves as a simple independent characterization technique. Specific surface area values predicted for a range of similar films vary by less than 4× the reported values, which vary by >1.1×103 in range. |
Keywords: | electron microscopy energy materials graphene surface thin films |
Rights: | © 2019 Wiley-VCH Verlag GmbH & Co. KGaA, Weinheim |
DOI: | 10.1002/cssc.201901928 |
Grant ID: | http://purl.org/au-research/grants/arc/FT180100058 |
Published version: | http://dx.doi.org/10.1002/cssc.201901928 |
Appears in Collections: | Aurora harvest 8 Chemical Engineering publications |
Files in This Item:
There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.