Dataset to support the University of Southampton Doctoral thesis "Exploring and Utilising the Effects of Environmental Factors on Memristor Behaviour"
Dataset to support the University of Southampton Doctoral thesis "Exploring and Utilising the Effects of Environmental Factors on Memristor Behaviour"
The data reflects on the initial investigation into the impact of humidity on TiO2 based devices, showing evidence that exposure to atmospheric humidity can result in the restoration of switching behaviour on previously broken devices.
As part of the research process, a low-cost, miniaturised environmental control chamber has been developed, capable of reaching temperatures up to 90°C while simultaneously controlling atmospheric humidity. This system has then been used to investigate the impact of temperature and humidity of memristors constructed with a gold/titanium oxide/platinum stack at four resistivities, from “pristine” to very low resistivity.
The data files are in excel format zipped into folders for each figure.
University of Southampton
Abbey, Thomas
64fcf5bd-e20e-4fb8-9ec4-391ad8a0a7a8
Abbey, Thomas
64fcf5bd-e20e-4fb8-9ec4-391ad8a0a7a8
Abbey, Thomas
(2022)
Dataset to support the University of Southampton Doctoral thesis "Exploring and Utilising the Effects of Environmental Factors on Memristor Behaviour".
University of Southampton
doi:10.5258/SOTON/D2162
[Dataset]
Abstract
The data reflects on the initial investigation into the impact of humidity on TiO2 based devices, showing evidence that exposure to atmospheric humidity can result in the restoration of switching behaviour on previously broken devices.
As part of the research process, a low-cost, miniaturised environmental control chamber has been developed, capable of reaching temperatures up to 90°C while simultaneously controlling atmospheric humidity. This system has then been used to investigate the impact of temperature and humidity of memristors constructed with a gold/titanium oxide/platinum stack at four resistivities, from “pristine” to very low resistivity.
The data files are in excel format zipped into folders for each figure.
Text
D2162_thesis_readme.txt
- Dataset
Archive
Fig_4_.zip
- Dataset
Archive
Fig_5_.zip
- Dataset
Archive
Fig_6_.zip
- Dataset
Archive
Fig_7.zip
- Dataset
Show all 5 downloads.
More information
Published date: 2022
Identifiers
Local EPrints ID: 477440
URI: http://eprints.soton.ac.uk/id/eprint/477440
PURE UUID: c529393c-4bf0-4e66-967c-a540cc629e0d
Catalogue record
Date deposited: 06 Jun 2023 16:59
Last modified: 08 Jun 2023 16:38
Export record
Altmetrics
Contributors
Creator:
Thomas Abbey
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