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Evaluation of statistical variability in 32 and 22 nm technology generation LSTP MOSFETs

机译:评估32和22 nm技术的LSTP MOSFET中的统计变异性

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摘要

The quantitative evaluation of the impact of key sources of static and dynamic statistical variability (SV) are presented for LSTP nMOSFETs corresponding to 32 nm and 22 nm technology generation transistors with thin-body (TB) SOI and double gate (DG) architectures, respectively. The simulation results indicate that TB SOI and DG devices are not only more resistant to random dopant induced variability compared to their bulk counterparts, but are also more tolerant to line edge roughness induced variability. However, the improved static SV performance shifts the emphasis to dynamic SV introduced by trapped charge associated with aging processes.
机译:针对分别对应于采用薄体(TB)SOI和双栅极(DG)架构的32 nm和22 nm技术生成晶体管的LSTP nMOSFET,对静态和动态统计可变性(SV)关键源的影响进行了定量评估。 。仿真结果表明,TB SOI和DG器件不仅比它们的本体具有更大的抵抗随机掺杂剂引起的可变性的能力,而且还更耐受线边缘粗糙度引起的可变性。但是,改进的静态SV性能将重点转移到了与老化过程相关的捕获电荷引入的动态SV。

著录项

  • 来源
    《Solid-State Electronics》 |2009年第7期|767-772|共6页
  • 作者单位

    Dept. of Electronics and Electrical Engineering, University of Glasgow, Glasgow, UK;

    Dept. of Electronics and Electrical Engineering, University of Glasgow, Glasgow, UK;

    Dept. of Electronics and Electrical Engineering, University of Glasgow, Glasgow, UK;

    Dept. of Electronics and Electrical Engineering, University of Glasgow, Glasgow, UK;

    Dept. of Electronics and Electrical Engineering, University of Glasgow, Glasgow, UK;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《生物学医学文摘》(MEDLINE);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    statistical variability; trapped charge; thin-body devices; random discrete dopant'; line edge roughness;

    机译:统计差异;陷阱电荷薄体设备;随机离散掺杂剂”;线边缘粗糙度;

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