Full metadata record

DC Field Value Language
dc.contributor.authorKim Taeyueb-
dc.contributor.authorPark, HeeGyum-
dc.contributor.authorHan, Ki-Hyuk-
dc.contributor.authorNah, Young-Jun-
dc.contributor.author구현철-
dc.contributor.author민병철-
dc.contributor.author홍석민-
dc.contributor.authorLee, Ouk Jae-
dc.date.accessioned2024-01-12T03:01:32Z-
dc.date.available2024-01-12T03:01:32Z-
dc.date.created2022-08-04-
dc.date.issued2022-07-
dc.identifier.issn2158-3226-
dc.identifier.urihttps://pubs.kist.re.kr/handle/201004/76666-
dc.identifier.urihttps://aip.scitation.org/doi/full/10.1063/5.0090577-
dc.description.abstractA binary stochastic neuron (BSN) or a probabilistic bit (p-bit) randomly fluctuates between digitized "0" and "1" with a controllable functionality of time-averaged value. Such an unconventional bit is the most essential building block for the recently proposed stochastic neural networks and probabilistic computing. Here, we experimentally implement a magnetic tunnel junction (MTJ) for BSN, with relaxation times on the order of tens of milliseconds that can be modulated by a current-induced spin-transfer torque. The NIST Statistical Test Suite (800-22a) is used to verify true random number generation by the BSN-MTJ device. Our results suggest the possibility of using the artificial BSN MTJ device in neuromorphic applications as well as in a recently proposed probabilistic computing. (c) 2022 Author(s).-
dc.languageEnglish-
dc.publisherAmerican Institute of Physics Inc.-
dc.titleDemonstration of in-plane magnetized stochastic magnetic tunnel junction for binary stochastic neuron-
dc.typeArticle-
dc.identifier.doi10.1063/5.0090577-
dc.description.journalClass1-
dc.identifier.bibliographicCitationAIP Advances, v.12, no.7, pp.1 - 6-
dc.citation.titleAIP Advances-
dc.citation.volume12-
dc.citation.number7-
dc.citation.startPage1-
dc.citation.endPage6-
dc.description.isOpenAccessY-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.identifier.wosid000884502800008-
dc.relation.journalWebOfScienceCategoryNanoscience & Nanotechnology-
dc.relation.journalWebOfScienceCategoryMaterials Science, Multidisciplinary-
dc.relation.journalWebOfScienceCategoryPhysics, Applied-
dc.relation.journalResearchAreaScience & Technology - Other Topics-
dc.relation.journalResearchAreaMaterials Science-
dc.relation.journalResearchAreaPhysics-
dc.type.docTypeArticle-
Appears in Collections:
KIST Article > 2022
Files in This Item:
There are no files associated with this item.
Export
RIS (EndNote)
XLS (Excel)
XML

qrcode

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

BROWSE