Exploring physical and digital architectures in magnetic nanoring array reservoir computers

Venkat, G. orcid.org/0000-0001-6255-3151, Vidamour, I. orcid.org/0000-0002-6909-2711, Swindells, C. orcid.org/0000-0002-9572-5930 et al. (8 more authors) (2024) Exploring physical and digital architectures in magnetic nanoring array reservoir computers. Neuromorphic Computing and Engineering, 4 (2). 024018. ISSN 2634-4386

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Item Type: Article
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© 2024 The Author(s). Original Content from this work may be used under the terms of the Creative Commons Attribution 4.0 licence (https://creativecommons.org/licenses/by/4.0/). Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.

Keywords: reservoir computing; machine learning; magnetic domain wall devices
Dates:
  • Published: June 2024
  • Published (online): 4 June 2024
  • Accepted: 4 June 2024
  • Submitted: 12 December 2023
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Materials Science and Engineering (Sheffield)
The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield)
Funding Information:
Funder
Grant number
ENGINEERING AND PHYSICAL SCIENCE RESEARCH COUNCIL
EP/V006339/1
Depositing User: Symplectic Sheffield
Date Deposited: 03 Jul 2024 10:58
Last Modified: 03 Jul 2024 10:58
Status: Published
Publisher: IOP Publishing
Refereed: Yes
Identification Number: 10.1088/2634-4386/ad53f9
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