Please use this identifier to cite or link to this item: https://doi.org/10.1109/TED.2019.2904313
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dc.titleHighly Scaled Strained Silicon-On-Insulator Technology for the 5G Era: Impact of Geometry and Annealing on Strain Retention and Device Performance of nMOSFETs
dc.contributor.authorTHEAN VOON YEW, AARON
dc.date.accessioned2020-11-30T02:44:47Z
dc.date.available2020-11-30T02:44:47Z
dc.date.issued2019
dc.identifier.citationTHEAN VOON YEW, AARON (2019). Highly Scaled Strained Silicon-On-Insulator Technology for the 5G Era: Impact of Geometry and Annealing on Strain Retention and Device Performance of nMOSFETs. IEEE Transactions on Electron Devices 66 (5) : 2068. ScholarBank@NUS Repository. https://doi.org/10.1109/TED.2019.2904313
dc.identifier.issn00189383
dc.identifier.urihttps://scholarbank.nus.edu.sg/handle/10635/184240
dc.description.abstractStrained silicon-on-insulator (SSOI) is a promising platform for 5G, which will require both high-performance and low-power complementary metal-oxide- semiconductor (CMOS) devices. Hence, it is important to understand the behavior of strain in SSOI at deeply scaled dimensions. We thus present a simulation study of SSOI technology, where the strain profiles of “fins” with different dimensions and layer thicknesses are analyzed. We discover, for the first time, that a buried oxide (BOX) as thin as 10-15 nm is able to effectively memorize the strain. It is also able to retain the strain under annealing up to 1000 °C, a result verified by the Raman measurements. Such a thin BOX enables a good back-gate control for dynamic threshold voltage (Vt) tuning of SSOI transistors. The ability to have a good performance enhancement (from strain), and dynamic Vt tunability (from thin BOX) makes SSOI favorable for 5G mixed-signal applications.
dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.typeArticle
dc.contributor.departmentELECTRICAL AND COMPUTER ENGINEERING
dc.description.doi10.1109/TED.2019.2904313
dc.description.sourcetitleIEEE Transactions on Electron Devices
dc.description.volume66
dc.description.issue5
dc.description.page2068
dc.published.statePublished
dc.grant.idNRF-RSS2015-003
dc.grant.fundingagencyNRF
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