Interface-type tunable oxygen ion dynamics for physical reservoir computing
Interface-type tunable oxygen ion dynamics for physical reservoir computing
About this item
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Author / Creator
Liu, Zhuohui , Zhang, Qinghua , Xie, Donggang , Zhang, Mingzhen , Li, Xinyan , Zhong, Hai , Li, Ge , He, Meng , Shang, Dashan , Wang, Can , Gu, Lin , Yang, Guozhen , Jin, Kuijuan and Ge, Chen
Publisher
London: Nature Publishing Group UK
Journal title
Language
English
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Publication information
Publisher
London: Nature Publishing Group UK
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Scope and Contents
Contents
Reservoir computing can more efficiently be used to solve time-dependent tasks than conventional feedforward network owing to various advantages, such as easy training and low hardware overhead. Physical reservoirs that contain intrinsic nonlinear dynamic processes could serve as next-generation dynamic computing systems. High-efficiency reservoir...
Alternative Titles
Full title
Interface-type tunable oxygen ion dynamics for physical reservoir computing
Authors, Artists and Contributors
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Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_ef9b7e9b6071463ba9185012a9b5f521
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_ef9b7e9b6071463ba9185012a9b5f521
Other Identifiers
ISSN
2041-1723
E-ISSN
2041-1723
DOI
10.1038/s41467-023-42993-x
