READ ME File For 'Exploring Temporal Dynamics of TiOx-Based Memristors for Optimised Robustness in Neuromorphic Computing'

Dataset DOI: 10.5258/SOTON/PG/D168

ReadMe Author: Alexander-Hanyu Wang, University of Southampton, ORCID: 0000-0002-9572-0646

This dataset supports the thesis entitled 
AWARDED BY: University of Southampton
DATE OF AWARD: 2025


Date of data collection: 2021-2025

Information about geographic location of data collection: Southampton, UK

Licence:
CC BY

Related projects/Funders:
UKRI - Machine Intelligence for Nano-Electronic Devices and Systems (MINDS) 
[Grant number: EP/S024298/1]


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DATA & FILE OVERVIEW
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This dataset contains:

All dataset used for figures presented in the thesis.



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METHODOLOGICAL INFORMATION
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Electrical characterisations were performed using a Keysight B1500A semiconductor device parameter analyser, integrated with a B1530A waveform generator and fast measurement unit, coupled with the Cascade wafer measurement system.


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DATA-SPECIFIC INFORMATION 
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Dataset consists of electrical characterisations based on voltage, current and derived units.
   

Date that the file was created: March 2026