Dataset supporting the publication "Reservoir computing using back-end-of-line SiC-based memristors"
Dataset supporting the publication "Reservoir computing using back-end-of-line SiC-based memristors"
Dataset supporting the publication "Reservoir computing using back-end-of-line SiC-based memristors".
This data demonstrates results of a back-end-of-line SiC-based memristor that exhibits short-term memory behaviour and is capable of encoding temporal signals. A physical reservoir computing system using our SiC-based memristor as the reservoir has been implemented. This physical reservoir computing system has been experimentally demonstrated to perform the task of pattern recognition. The results demonstrated good robustness to noisy pixels. The results indicate that our SiC-based memristor devices are strong contenders for potential applications in artificial intelligence, particularly in temporal and sequential data processing.
The data includes 2 files:
data.xlsx
checkpoint.pt
R. H. would like to thank the Royal Society for a Research Grant (RGS/R2/222171). O. K. thanks EPSRC and AWE Ltd for the ICASE studentship No. 16000087.
University of Southampton
Guo, Dongkai
cc5dd5b1-9e1b-4a86-8f41-7161de1e2e8f
Kapur, Omesh Radhev
008af9d2-92eb-4749-a3be-210010f63449
Dai, Peng
1150a00a-e54b-438b-bf51-4e8521c07f66
Han, Yisong
9307e57c-85b5-461d-93c5-9c3081224c02
Beanland, Richard
77643be6-0c38-4542-b05a-4ccc14efdc25
Jiang, Liudi
374f2414-51f0-418f-a316-e7db0d6dc4d1
De Groot, Kees
92cd2e02-fcc4-43da-8816-c86f966be90c
Huang, Ruomeng
c6187811-ef2f-4437-8333-595c0d6ac978
Guo, Dongkai
cc5dd5b1-9e1b-4a86-8f41-7161de1e2e8f
Kapur, Omesh Radhev
008af9d2-92eb-4749-a3be-210010f63449
Dai, Peng
1150a00a-e54b-438b-bf51-4e8521c07f66
Han, Yisong
9307e57c-85b5-461d-93c5-9c3081224c02
Beanland, Richard
77643be6-0c38-4542-b05a-4ccc14efdc25
Jiang, Liudi
374f2414-51f0-418f-a316-e7db0d6dc4d1
De Groot, Kees
92cd2e02-fcc4-43da-8816-c86f966be90c
Huang, Ruomeng
c6187811-ef2f-4437-8333-595c0d6ac978
Guo, Dongkai, Kapur, Omesh Radhev, Dai, Peng, Han, Yisong, Beanland, Richard, Jiang, Liudi, De Groot, Kees and Huang, Ruomeng
(2023)
Dataset supporting the publication "Reservoir computing using back-end-of-line SiC-based memristors".
University of Southampton
doi:10.5258/SOTON/D2725
[Dataset]
Abstract
Dataset supporting the publication "Reservoir computing using back-end-of-line SiC-based memristors".
This data demonstrates results of a back-end-of-line SiC-based memristor that exhibits short-term memory behaviour and is capable of encoding temporal signals. A physical reservoir computing system using our SiC-based memristor as the reservoir has been implemented. This physical reservoir computing system has been experimentally demonstrated to perform the task of pattern recognition. The results demonstrated good robustness to noisy pixels. The results indicate that our SiC-based memristor devices are strong contenders for potential applications in artificial intelligence, particularly in temporal and sequential data processing.
The data includes 2 files:
data.xlsx
checkpoint.pt
R. H. would like to thank the Royal Society for a Research Grant (RGS/R2/222171). O. K. thanks EPSRC and AWE Ltd for the ICASE studentship No. 16000087.
Spreadsheet
data.xlsx
- Dataset
Other
checkpoint.pt
- Dataset
Text
D2725_README.txt
- Dataset
More information
Published date: 31 October 2023
Identifiers
Local EPrints ID: 483490
URI: http://eprints.soton.ac.uk/id/eprint/483490
PURE UUID: ef284070-a95f-4ce4-98cb-b1138d96725c
Catalogue record
Date deposited: 31 Oct 2023 18:18
Last modified: 06 Jan 2024 03:05
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Contributors
Creator:
Dongkai Guo
Creator:
Omesh Radhev Kapur
Creator:
Peng Dai
Creator:
Yisong Han
Creator:
Richard Beanland
Creator:
Ruomeng Huang
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