The University of Southampton
University of Southampton Institutional Repository

Ga particle templated assembly dataset

Record type: Dataset

SEM image set for: Waters, Robin et al (2016) Templated assembly of metal nanoparticle films on polymer substrates. Applied Physics Letters.

Plain Text SEM_images_readme.txt - Text
Download (137B)
Archive (ZIP) gallium_particle_growth_templating_dataset.zip - Dataset
Download (49MB)

Citation

Waters, Robin, Francis, Ohtsu, Akihiko, Naya, Masayuki, Hobson, Peter A., Macdonald, Kevin and Zheludev, Nikolai (2017) Ga particle templated assembly dataset University of Southampton doi:10.5258/SOTON/399231 [Dataset]

More information

Published date: 2017
Organisations: Optoelectronics Research Centre
Projects:
Nanostructured Photonic Metamaterials
Funded by: UNSPECIFIED (EP/G060363/1)
1 January 2010 to 31 December 2015
The Physics and Technology of Photonic Metadevices and Metasystems
Funded by: UNSPECIFIED (EP/M009122/1)
1 October 2015 to 30 September 2021

Identifiers

Local EPrints ID: 399231
URI: http://eprints.soton.ac.uk/id/eprint/399231
PURE UUID: 8a3c5f8d-3ffd-479d-9a74-d1fd87782581
ORCID for Kevin Macdonald: ORCID iD orcid.org/0000-0002-3877-2976

Catalogue record

Date deposited: 11 Jan 2017 11:29
Last modified: 09 Aug 2017 04:01

Export record

Altmetrics

Contributors

Creator: Robin, Francis Waters
Creator: Akihiko Ohtsu
Creator: Masayuki Naya
Creator: Peter A. Hobson
Creator: Kevin Macdonald ORCID iD
Creator: Nikolai Zheludev

University divisions

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Available Files

Visible to: Anyone
Content: Text
Description: UNSPECIFIED
Mime-Type: text/plain
UNSPECIFIED: 137B
Visible to: Anyone
Content: Dataset
Description: UNSPECIFIED
Mime-Type: application/zip
UNSPECIFIED: 49MB
Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×