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dc.contributor.authorSun, Yichuang
dc.contributor.authorKvatinsky, Shahar
dc.contributor.authorSirakoulis, Georgios
dc.contributor.authorSun, Jingru
dc.contributor.authorAscoli, Alon
dc.date.accessioned2024-11-22T16:15:01Z
dc.date.available2024-11-22T16:15:01Z
dc.date.issued2024-11-13
dc.identifier.citationSun , Y , Kvatinsky , S , Sirakoulis , G , Sun , J & Ascoli , A 2024 , ' Guest Editorial: Memristive electronic circuits, neural networks and neuromorphic computing ' , Electronics Letters , vol. 60 , no. 22 , e70092 , pp. 1-3 . https://doi.org/10.1049/ell2.70092
dc.identifier.issn0013-5194
dc.identifier.otherJisc: 2418460
dc.identifier.otherpublisher-id: ell270092
dc.identifier.urihttp://hdl.handle.net/2299/28476
dc.description© 2024 The Author(s). Electronics Letters published by John Wiley & Sons Ltd on behalf of The Institution of Engineering and Technology. This is an open access article under the Creative Commons Attribution Non-Commercial No-Derivatives CC BY-NC-ND licence, https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.description.abstractThe theoretical concept of memristor was first proposed as the fourth basic circuit element by Chua in 1971. It defines the relationship between electric charge and magnetic flux. The first physical implementation of memristor was realised by HP Labs in 2008. It was fabricated in advanced nano technology. Intensive research has since been conducted on the development of memristors across the whole world and wide applications of memristors have also been explored. Since they are smaller nano device, consume less power, and have both memory and processing functions, memristors have been widely recognised to be the future of electronics, computing and AI. For example, they will play a key role in emerging edge computing and brain-like computing. The aim of the Special Issue is to follow the state of the arts of memristor-based circuits and systems, with particular focus on memristive electronic circuits, neural networks and neuromorphic computing, publish original technical papers reflecting the most recent research and application results, and identify new challenges and ways forward for future research and applications in this emerging fast-growing field.en
dc.format.extent3
dc.format.extent341672
dc.language.isoeng
dc.relation.ispartofElectronics Letters
dc.titleGuest Editorial: Memristive electronic circuits, neural networks and neuromorphic computingen
dc.contributor.institutionCentre for Engineering Research
dc.contributor.institutionCentre for Future Societies Research
dc.contributor.institutionCommunications and Intelligent Systems
dc.contributor.institutionSchool of Physics, Engineering & Computer Science
dc.contributor.institutionDepartment of Engineering and Technology
dc.description.statusPeer reviewed
rioxxterms.versionofrecord10.1049/ell2.70092
rioxxterms.typeJournal Article/Review
herts.preservation.rarelyaccessedtrue


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