Impact of the precursor chemistry and process conditions on the cell-to-cell variability in 1T-1R based HfO2 RRAM devices

dc.bibliographicCitation.firstPage11160eng
dc.bibliographicCitation.issue1eng
dc.bibliographicCitation.journalTitleScientific Reportseng
dc.bibliographicCitation.lastPage1431eng
dc.bibliographicCitation.volume8eng
dc.contributor.authorGrossi, A.
dc.contributor.authorPerez, E.
dc.contributor.authorZambelli, C.
dc.contributor.authorOlivo, P.
dc.contributor.authorMiranda, E.
dc.contributor.authorRoelofs, R.
dc.contributor.authorWoodruff, J.
dc.contributor.authorRaisanen, P.
dc.contributor.authorLi, W.
dc.contributor.authorGivens, M.
dc.contributor.authorCostina, I.
dc.contributor.authorSchubert, M.A.
dc.contributor.authorWenger, C.
dc.date.accessioned2020-07-13T11:01:17Z
dc.date.available2020-07-13T11:01:17Z
dc.date.issued2018
dc.description.abstractThe Resistive RAM (RRAM) technology is currently in a level of maturity that calls for its integration into CMOS compatible memory arrays. This CMOS integration requires a perfect understanding of the cells performance and reliability in relation to the deposition processes used for their manufacturing. In this paper, the impact of the precursor chemistries and process conditions on the performance of HfO2 based memristive cells is studied. An extensive characterization of HfO2 based 1T1R cells, a comparison of the cell-to-cell variability, and reliability study is performed. The cells’ behaviors during forming, set, and reset operations are monitored in order to relate their features to conductive filament properties and process-induced variability of the switching parameters. The modeling of the high resistance state (HRS) is performed by applying the Quantum-Point Contact model to assess the link between the deposition condition and the precursor chemistry with the resulting physical cells characteristics.eng
dc.description.fondsLeibniz_Fonds
dc.description.versionpublishedVersioneng
dc.identifier.urihttps://doi.org/10.34657/3518
dc.identifier.urihttps://oa.tib.eu/renate/handle/123456789/4889
dc.language.isoengeng
dc.publisherLondon : Nature Publishing Groupeng
dc.relation.doihttps://doi.org/10.1038/s41598-018-29548-7
dc.relation.issn2045-2322
dc.rights.licenseCC BY 4.0 Unportedeng
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/eng
dc.subject.ddc620eng
dc.subject.otherarticleeng
dc.subject.otherchemistryeng
dc.subject.othercontrolled studyeng
dc.subject.otherprecursoreng
dc.subject.otherreliabilityeng
dc.subject.otheralgorithmeng
dc.subject.otherchemistryeng
dc.subject.othercrystallizationeng
dc.subject.otherdata storage deviceeng
dc.subject.otherelectric conductivityeng
dc.subject.otherheateng
dc.subject.otherimpedanceeng
dc.subject.othermicroelectromechanical systemeng
dc.subject.othertheoretical modeleng
dc.subject.othertransistoreng
dc.subject.othertransmission electron microscopyeng
dc.subject.otherX ray diffractioneng
dc.subject.otherX ray photoemission spectroscopyeng
dc.subject.othercarboneng
dc.subject.otherhafniumeng
dc.subject.otherhafnium oxideeng
dc.subject.otheroxideeng
dc.subject.otheroxygeneng
dc.subject.otherAlgorithmseng
dc.subject.otherCarboneng
dc.subject.otherComputer Storage Deviceseng
dc.subject.otherCrystallizationeng
dc.subject.otherElectric Conductivityeng
dc.subject.otherElectric Impedanceeng
dc.subject.otherHafniumeng
dc.subject.otherHot Temperatureeng
dc.subject.otherMicro-Electrical-Mechanical Systemseng
dc.subject.otherMicroscopy, Electron, Transmissioneng
dc.subject.otherModels, Theoreticaleng
dc.subject.otherOxideseng
dc.subject.otherOxygeneng
dc.subject.otherPhotoelectron Spectroscopyeng
dc.subject.otherTransistors, Electroniceng
dc.subject.otherX-Ray Diffractioneng
dc.titleImpact of the precursor chemistry and process conditions on the cell-to-cell variability in 1T-1R based HfO2 RRAM deviceseng
dc.typeArticleeng
dc.typeTexteng
tib.accessRightsopenAccesseng
wgl.contributorIHPeng
wgl.subjectIngenieurwissenschafteneng
wgl.typeZeitschriftenartikeleng
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