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dc.contributor.authorHwang, Chih-Hongen_US
dc.contributor.authorLi, Tien-Yehen_US
dc.contributor.authorHan, Ming-Hungen_US
dc.contributor.authorLee, Kuo-Fuen_US
dc.contributor.authorCheng, Hui-Wenen_US
dc.contributor.authorLi, Yimingen_US
dc.date.accessioned2014-12-08T15:25:39Z-
dc.date.available2014-12-08T15:25:39Z-
dc.date.issued2009en_US
dc.identifier.isbn978-1-4244-3948-5en_US
dc.identifier.issn1946-1569en_US
dc.identifier.urihttp://hdl.handle.net/11536/18066-
dc.description.abstractThis work for the first time estimates the influences of the intrinsic parameter fluctuations consisting of metal gate workfunction fluctuation (WKF), process variation effect (PVE) and random dopant fluctuation (RDF) on 16-nm-gate planar metal-oxide-semiconductor field effect transistors (MOSFETs) and circuits. The WKF and RDF dominate the threshold voltage fluctuation; however, the WKF brings less impact on the gate capacitance due to the screening effect of the inversion layer. The fluctuation of timing characteristics depends on the threshold voltage fluctuation, and therefore is proportional to the trend of threshold voltage fluctuation. For an amplifier circuit, the high-frequency characteristics, the circuit gain, the 3dB bandwidth, the unity-gain bandwidth power, and the power-added efficiency, are explored consequently. Similar to the trend of the cutoff frequency, the PVE and RDF dominate both the device and circuits characteristic fluctuations due to the significant gate capacitance fluctuations and the WKF is less important at this simulation scenario. The extensive study assesses the fluctuations on circuit performance and reliability, which can in turn be used to optimize nanoscale MOSFET and circuits.en_US
dc.language.isoen_USen_US
dc.subjectEmerging device technologyen_US
dc.subjectintrinsic parameter fluctuationen_US
dc.subjectnanoscale MOSFETen_US
dc.subjectcircuiten_US
dc.subjectcoupled device-circuit simulationen_US
dc.subjectmodeling and simulationen_US
dc.titleStatistical Analysis of Metal Gate Workfunction Variability, Process Variation, and Random Dopant Fluctuation in Nano-CMOS Circuitsen_US
dc.typeProceedings Paperen_US
dc.identifier.journal2009 INTERNATIONAL CONFERENCE ON SIMULATION OF SEMICONDUCTOR PROCESSES AND DEVICESen_US
dc.citation.spage99en_US
dc.citation.epage102en_US
dc.contributor.department傳播研究所zh_TW
dc.contributor.departmentInstitute of Communication Studiesen_US
dc.identifier.wosnumberWOS:000277103100023-
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