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dc.contributor.authorLee, Kuo-Fuen_US
dc.contributor.authorLi, Yimingen_US
dc.contributor.authorLi, Tien-Yenen_US
dc.contributor.authorSu, Zhong-Chengen_US
dc.contributor.authorHwang, Chin-Hongen_US
dc.date.accessioned2014-12-08T15:13:15Z-
dc.date.available2014-12-08T15:13:15Z-
dc.date.issued2010-05-01en_US
dc.identifier.issn0026-2714en_US
dc.identifier.urihttp://dx.doi.org/10.1016/j.microrel.2010.01.021en_US
dc.identifier.urihttp://hdl.handle.net/11536/10233-
dc.description.abstractIn this study, a three-dimensional "atomistic" coupled device-circuit simulation is performed to explore the impact of process-variation-effect (PVE) and random-dopant-fluctuation (RDF) on static noise margin (SNM) of 16-nm complementary metal-oxide-semiconductor (CMOS) static random access memory (SRAM) cells. Fluctuation suppression approaches, based on circuit and device viewpoints, are further implemented to examine the associated characteristics in 16-nm-gate SRAM cells. From the circuit viewpoint, the SNM of 8T planar SRAM is enlarged to 230 mV and the variation of SNM (sigma(SNM)) is reduced to 22 mV at a cost of 30% extra chip area. As for device level improvement, silicon-on-insulator (SOI) FinFETs replaced the planar MOSFETs in 6T SRAM is further examined. The SNM of 6T SOI FinFETs SRAM is 125 mV and the sigma(SNM) is suppressed significantly to 5.4 mV. However, development of fabrication process for SOI FinFET SRAM is crucial for sub-22 nm technology era. (C) 2010 Elsevier Ltd. All rights reserved.en_US
dc.language.isoen_USen_US
dc.titleDevice and circuit level suppression techniques for random-dopant-induced static noise margin fluctuation in 16-nm-gate SRAM cellen_US
dc.typeArticle; Proceedings Paperen_US
dc.identifier.doi10.1016/j.microrel.2010.01.021en_US
dc.identifier.journalMICROELECTRONICS RELIABILITYen_US
dc.citation.volume50en_US
dc.citation.issue5en_US
dc.citation.spage647en_US
dc.citation.epage651en_US
dc.contributor.department傳播研究所zh_TW
dc.contributor.department電機工程學系zh_TW
dc.contributor.departmentInstitute of Communication Studiesen_US
dc.contributor.departmentDepartment of Electrical and Computer Engineeringen_US
dc.identifier.wosnumberWOS:000278728700017-
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