Molybdenum Gate Work Function Engineering for Ultra-Thin-Body Silicon-on-Insulator (UTB SOI) MOSFETs
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概要
- 論文の詳細を見る
In this paper, we demonstrate threshold voltage ($V_{\text{T}}$) adjustment for Mo-gated ultra-thin-body (UTB) silicon-on-insulator (SOI) MOSFETs by nitrogen (14N+) implantation for the first time. In order to avoid dopant fluctuation effects and impurity scattering, a lightly doped ($10^{15}$ cm-3) Si body is used without degrading the short channel effects by virtue of an ultra-thin body. Metallic gate materials are desirable for reducing resistance, and for eliminating the gate depletion effect as well as dopant penetration through an ultra-thin gate dielectric. The $V_{\text{T}}$ for Mo-gated UTB SOI p-channel MOSFET is $-0.2$ V, and it can be shifted by approximately $-65$ mV for every $1\times 10^{15}$ cm-2 increment in 14N+ implant dose. An estimated dose of $6--8\times 10^{15}$ cm-2 is needed for achieving low $V_{\text{T}}$ (0.2–0.3 V) Mo-gated UTB SOI n-channel MOSFET.
- INSTITUTE OF PURE AND APPLIED PHYSICSの論文
- 2003-04-15
著者
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Ha Daewon
University Of California At Berkeley Department Of Electrical Engineering And Computer Science
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Hu Chenming
University Of California At Berkeley
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Choi Yang-kyu
University Of California At Berkeley Department Of Electrical Engineering And Computer Science
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RANADE Pushkar
Department of Materials Science and Engineering
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King Tsu-jae
University Of California At Berkeley Department Of Electrical Engineering And Computer Science
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Lee Jeong-soo
University Of California At Berkeley Department Of Electrical Engineering And Computer Science
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Lee Jeong-Soo
University of California at Berkeley, Department of Electrical Engineering and Computer Science, 373 Cory Hall, University of California, Berkeley, CA 94720, U.S.A.
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King Tsu-Jae
University of California at Berkeley, Department of Electrical Engineering and Computer Science, 373 Cory Hall, University of California, Berkeley, CA 94720, U.S.A.
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Ha Daewon
University of California at Berkeley, Department of Electrical Engineering and Computer Science, 373 Cory Hall, University of California, Berkeley, CA 94720, U.S.A.
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