Physical Reservoir based on a Leaky-FeFET Using the Temporal Memory Effect

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dc.contributor.authorLee, Gyusoupko
dc.contributor.authorKang, Changyeonko
dc.contributor.authorKim, Seonghoko
dc.contributor.authorPark, Youngkeunko
dc.contributor.authorShin, Eui Joongko
dc.contributor.authorCho, Byung-Jinko
dc.date.accessioned2024-01-03T06:00:40Z-
dc.date.available2024-01-03T06:00:40Z-
dc.date.created2023-11-22-
dc.date.issued2024-01-
dc.identifier.citationIEEE ELECTRON DEVICE LETTERS, v.45, no.1, pp.108 - 111-
dc.identifier.issn0741-3106-
dc.identifier.urihttp://hdl.handle.net/10203/317283-
dc.description.abstractIn this work, a leaky-Ferroelectric Field Effect Transistor (FeFET) neuron is introduced as a physical reservoir in a reservoir computing scheme. Compared to a conventional FeFET reservoir control sample, which did not show leaky behavior, the proposed leaky-FeFET neuron-based physical reservoir exhibited 78.6% and 62.9% improvements in memory capacity for Short Term Memory (STM) and Parity Check (PC) tasks, respectively. The improvements are attributed to the temporal memory effect induced by the leaky-integrating neuronal behavior, which originates from the retention degradation of the FeFET.-
dc.languageEnglish-
dc.publisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC-
dc.titlePhysical Reservoir based on a Leaky-FeFET Using the Temporal Memory Effect-
dc.typeArticle-
dc.identifier.scopusid2-s2.0-85179049368-
dc.type.rimsART-
dc.citation.volume45-
dc.citation.issue1-
dc.citation.beginningpage108-
dc.citation.endingpage111-
dc.citation.publicationnameIEEE ELECTRON DEVICE LETTERS-
dc.identifier.doi10.1109/LED.2023.3335142-
dc.contributor.localauthorCho, Byung-Jin-
dc.contributor.nonIdAuthorKang, Changyeon-
dc.description.isOpenAccessN-
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