Numerical analysis of a polysilicon-based resistive memory device
dc.contributor.author | Berco, Dan | |
dc.contributor.author | Chand, Umesh | |
dc.date.accessioned | 2018-04-15T07:13:35Z | |
dc.date.available | 2018-04-15T07:13:35Z | |
dc.date.issued | 2018-03-08 | |
dc.identifier.citation | Berco D, Chand U (2018) Numerical analysis of a polysilicon-based resistive memory device. Journal of Computational Electronics. Available: http://dx.doi.org/10.1007/s10825-018-1154-4. | |
dc.identifier.issn | 1569-8025 | |
dc.identifier.issn | 1572-8137 | |
dc.identifier.doi | 10.1007/s10825-018-1154-4 | |
dc.identifier.uri | http://hdl.handle.net/10754/627459 | |
dc.description.abstract | This study investigates a conductive bridge resistive memory device based on a Cu top electrode, 10-nm polysilicon resistive switching layer and a TiN bottom electrode, by numerical analysis for $10^{3}$103 programming and erase simulation cycles. The low and high resistive state values in each cycle are calculated, and the analysis shows that the structure has excellent retention reliability properties. The presented Cu species density plot indicates that Cu insertion occurs almost exclusively along grain boundaries resulting in a confined isomorphic conductive filament that maintains its overall shape and electric properties during cycling. The superior reliability of this structure may thus be attributed to the relatively low amount of Cu migrating into the RSL during initial formation. In addition, the results show a good match and help to confirm experimental measurements done over a previously demonstrated device. | |
dc.publisher | Springer Nature | |
dc.relation.url | http://link.springer.com/article/10.1007/s10825-018-1154-4 | |
dc.subject | Conductive bridge resistive switching memory (CBRAM) | |
dc.subject | Numerical simulation | |
dc.subject | Polysilicon | |
dc.subject | Cu | |
dc.subject | Reliability | |
dc.subject | Degradation | |
dc.title | Numerical analysis of a polysilicon-based resistive memory device | |
dc.type | Article | |
dc.contributor.department | Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division | |
dc.contributor.department | Electrical Engineering Program | |
dc.identifier.journal | Journal of Computational Electronics | |
dc.contributor.institution | School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, Singapore | |
kaust.person | Chand, Umesh | |
dc.date.published-online | 2018-03-08 | |
dc.date.published-print | 2018-06 |
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Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
For more information visit: https://cemse.kaust.edu.sa/