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Supporting data for "The effects of water on the dielectric properties of silicon based nanocomposites"

Supporting data for "The effects of water on the dielectric properties of silicon based nanocomposites"
Supporting data for "The effects of water on the dielectric properties of silicon based nanocomposites"
A series of polyethylene-based nanocomposites was prepared, utilizing silicon nitride or silicon dioxide (silica) nano-powders, and the effect of filler loading and conditioning (i.e. water content) on their morphology and electrical properties was examined. The addition of nano-silicon nitride led to systems that were free of obvious nanoparticle aggregates, whereas the nano-silica based systems showed evidence of aggregation up to the micrometer-scale. While the nano-silicon nitride composites remained essentially dry under ambient conditions, the nano-silica-based composites absorbed appreciable quantities of water from the ambient environment, indicating that interactions with water are dependent on the nanoparticle surface chemistry. Dielectric spectroscopy showed a broad relaxation peak due to adsorbed water at nanoparticle surfaces, which shifted to higher frequencies with increased water content. Similarly, the electrical conductivity was found to be highly sensitive to the presence of absorbed water, particularly for systems containing well dispersed nanoparticles. We conclude that, in nanodielectric applications, nanoparticle surface chemistry is important in determining macroscopic properties, and not just as a means of compatibilizing the filler and the matrix. Additional factors can be critical, here, as exemplified by interactions with water.Dataset to support: Hosier, Ian et al (2016). The effects of water on the dielectric properties of silicon based nanocomposites. IEEE Transactions on Nanotechnology (TNANO).
University of Southampton
Hosier, Ian
6a44329e-b742-44de-afa7-073f80a78e26
Praeger, Matthew
84575f28-4530-4f89-9355-9c5b6acc6cac
Vaughan, Alun
6d813b66-17f9-4864-9763-25a6d659d8a3
Swingler, Steven
4f13fbb2-7d2e-480a-8687-acea6a4ed735
Hosier, Ian
6a44329e-b742-44de-afa7-073f80a78e26
Praeger, Matthew
84575f28-4530-4f89-9355-9c5b6acc6cac
Vaughan, Alun
6d813b66-17f9-4864-9763-25a6d659d8a3
Swingler, Steven
4f13fbb2-7d2e-480a-8687-acea6a4ed735

Hosier, Ian, Praeger, Matthew, Vaughan, Alun and Swingler, Steven (2016) Supporting data for "The effects of water on the dielectric properties of silicon based nanocomposites". University of Southampton [Dataset]

Record type: Dataset

Abstract

A series of polyethylene-based nanocomposites was prepared, utilizing silicon nitride or silicon dioxide (silica) nano-powders, and the effect of filler loading and conditioning (i.e. water content) on their morphology and electrical properties was examined. The addition of nano-silicon nitride led to systems that were free of obvious nanoparticle aggregates, whereas the nano-silica based systems showed evidence of aggregation up to the micrometer-scale. While the nano-silicon nitride composites remained essentially dry under ambient conditions, the nano-silica-based composites absorbed appreciable quantities of water from the ambient environment, indicating that interactions with water are dependent on the nanoparticle surface chemistry. Dielectric spectroscopy showed a broad relaxation peak due to adsorbed water at nanoparticle surfaces, which shifted to higher frequencies with increased water content. Similarly, the electrical conductivity was found to be highly sensitive to the presence of absorbed water, particularly for systems containing well dispersed nanoparticles. We conclude that, in nanodielectric applications, nanoparticle surface chemistry is important in determining macroscopic properties, and not just as a means of compatibilizing the filler and the matrix. Additional factors can be critical, here, as exemplified by interactions with water.Dataset to support: Hosier, Ian et al (2016). The effects of water on the dielectric properties of silicon based nanocomposites. IEEE Transactions on Nanotechnology (TNANO).

Other
Data_TNANO_00300_2016.xlsx - Dataset
Available under License Data: Open Database License (ODbL) (Attribution-Share Alike).
Download (311kB)
Other
PercolationModel.m - Software
Available under License Data: Open Database License (ODbL) (Attribution-Share Alike).
Download (7kB)

More information

Published date: 2016
Organisations: EEE, Electronics & Computer Science
Projects:
Transformation of the Top and Tail of Energy Networks
Funded by: UNSPECIFIED (EP/I031707/1)
1 October 2011 to 30 September 2015

Identifiers

Local EPrints ID: 402211
URI: http://eprints.soton.ac.uk/id/eprint/402211
PURE UUID: 0b47707c-27d0-4978-80b4-2fef0b1654ec
ORCID for Ian Hosier: ORCID iD orcid.org/0000-0003-4365-9385
ORCID for Matthew Praeger: ORCID iD orcid.org/0000-0002-5814-6155
ORCID for Alun Vaughan: ORCID iD orcid.org/0000-0002-0535-513X

Catalogue record

Date deposited: 02 Nov 2016 09:41
Last modified: 13 Aug 2020 01:38

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Contributors

Creator: Ian Hosier ORCID iD
Creator: Matthew Praeger ORCID iD
Creator: Alun Vaughan ORCID iD
Creator: Steven Swingler

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