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dc.contributor.authorMaldonado Correa, David 
dc.contributor.authorAldana Delgado, Samuel
dc.contributor.authorGonzález, M. B.
dc.contributor.authorJiménez Molinos, Francisco 
dc.contributor.authorCampabadal, F.
dc.contributor.authorRoldán Aranda, Juan Bautista 
dc.date.accessioned2022-09-15T07:49:04Z
dc.date.available2022-09-15T07:49:04Z
dc.date.issued2022-09-08
dc.identifier.citationMicroelectronic Engineering 265 (2022) 111876 [https://doi.org/10.1016/j.mee.2022.111876]es_ES
dc.identifier.urihttp://hdl.handle.net/10481/76703
dc.description.abstractA revision of the different numerical techniques employed to extract resistive switching (RS) and modeling parameters is presented. The set and reset voltages, commonly used for variability estimation, are calculated for different resistive memory technologies. The methodologies to extract the series resistance and the parameters linked to the charge-flux memristive modeling approach are also described. It is found that the obtained cycle-to-cycle (C2C) variability depends on the numerical technique used. This result is important, and it implies that when analyzing C2C variability, the extraction technique should be described to perform fair comparisons between different resistive memory technologies. In addition to the use of extensive experimental data for different types of resistive memories, we have also included kinetic Monte Carlo (kMC) simulations to study the formation and rupture events of the percolation paths that constitute the conductive filaments (CF) that allow resistive switching operation in filamentary unipolar and bipolar devices.es_ES
dc.description.sponsorshipConsejería de Conocimiento, Investigaci ́on y Universidad, Junta de Andalucía (Spain) and the FEDER program for the projects A.TIC.117.UGR18, B-TIC-624-UGR20 and IE2017-5414es_ES
dc.description.sponsorshipRamón y Cajal grant No. RYC2020-030150-Ies_ES
dc.description.sponsorshipFunding for open access charge: Universidad de Granada/CBUAes_ES
dc.language.isoenges_ES
dc.publisherElsevieres_ES
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectResistive switching memoryes_ES
dc.subjectRRAM parameter extractiones_ES
dc.subjectKinetic Monte Carlo simulationes_ES
dc.subjectVariabilityes_ES
dc.subjectNumerical methodses_ES
dc.subjectSeries resistancees_ES
dc.titleParameter extraction techniques for the analysis and modeling of resistive memorieses_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES
dc.identifier.doi10.1016/j.mee.2022.111876
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersiones_ES


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Attribution-NonCommercial-NoDerivatives 4.0 Internacional
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