Please use this identifier to cite or link to this item: http://doi.org/10.25358/openscience-119
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dc.contributor.authorConca Parra, Andrés-
dc.contributor.authorCasper, Frederick-
dc.contributor.authorPaul, Johannes-
dc.contributor.authorLehndorff, Ronald-
dc.contributor.authorHaupt, Christian-
dc.contributor.authorJakob, Gerhard-
dc.contributor.authorKläui, Mathias-
dc.contributor.authorHillebrands, Burkard-
dc.date.accessioned2019-09-04T10:07:41Z-
dc.date.available2019-09-04T12:07:41Z-
dc.date.issued2019-
dc.identifier.urihttps://openscience.ub.uni-mainz.de/handle/20.500.12030/121-
dc.description.abstractThe estimation of the reliability of magnetic field sensors against failure is a critical point concerning their application for industrial purposes. Due to the physical stochastic nature of the failure events, this can only be done by means of a statistical approach which is extremely time consuming and prevents a continuous observation of the production. Here, we present a novel microstructure design for a parallel measurement of the lifetime characteristics of a sensor population. By making use of two alternative designs and the Weibull statistical distribution function, we are able to measure the lifetime characteristics of a CoFeB/MgO/CoFeB tunneling junction population. The main parameters governing the time evolution of the failure rate are estimated and discussed and the suitability of the microstructure for highly reliable sensor application is proven.en_GB
dc.language.isoeng-
dc.rightsInCopyrightde_DE
dc.rights.urihttps://rightsstatements.org/vocab/InC/1.0/-
dc.subject.ddc530 Physikde_DE
dc.subject.ddc530 Physicsen_GB
dc.titleMicrostructure design for fast lifetime measurements of magnetic tunneling junctionsen_GB
dc.typeZeitschriftenaufsatzde_DE
dc.identifier.urnurn:nbn:de:hebis:77-publ-592266-
dc.identifier.doihttp://doi.org/10.25358/openscience-119-
jgu.type.dinitypearticle-
jgu.type.versionAccepted versionen_GB
jgu.type.resourceText-
jgu.organisation.departmentFB 08 Physik, Mathematik u. Informatik-
jgu.organisation.number7940-
jgu.organisation.nameJohannes Gutenberg-Universität Mainz-
jgu.rights.accessrightsopenAccess-
jgu.journal.titleSensors-
jgu.journal.volume19-
jgu.journal.issue3-
jgu.pages.alternativeArt. 583-
jgu.publisher.year2019-
jgu.publisher.nameMDPI-
jgu.publisher.placeBasel-
jgu.publisher.urihttp://dx.doi.org/10.3390/s19030583-
jgu.publisher.issn1424-8220-
jgu.organisation.placeMainz-
jgu.subject.ddccode530-
opus.date.accessioned2019-09-04T10:07:41Z-
opus.date.modified2019-09-16T09:15:17Z-
opus.date.available2019-09-04T12:07:41-
opus.subject.dfgcode00-000-
opus.organisation.stringFB 08: Physik, Mathematik und Informatik: Institut für Physikde_DE
opus.identifier.opusid59226-
opus.institute.number0801-
opus.metadataonlyfalse-
opus.type.contenttypeForschungsberichtde_DE
opus.type.contenttypeResearch Reporten_GB
opus.affiliatedJakob, Gerhard-
opus.affiliatedKläui, Mathias-
jgu.publisher.doi10.3390/s19030583
jgu.organisation.rorhttps://ror.org/023b0x485
Appears in collections:JGU-Publikationen

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