...
首页> 外文期刊>Japanese journal of applied physics >Difference analysis method for negative bias temperature instability lifetime prediction in deeply scaled pMOSFETs
【24h】

Difference analysis method for negative bias temperature instability lifetime prediction in deeply scaled pMOSFETs

机译:深度缩放pMOSFET的负偏置温度不稳定性寿命预测的差异分析方法

获取原文
获取原文并翻译 | 示例

摘要

The fluctuation significantly affects the lifetime prediction of negative bias temperature instability (NBTI) for deeply scaled pMOSFETs. In this paper, we present a novel difference method to separate the time dependent fluctuation-related component from the NBTI quasi-static component in the threshold voltage shift. The extracted fluctuation- related component exhibits weak temperature and time dependences which is consistent with the characteristic of as-grown defect-induced trapping and detrapping while the quasi-static component presents electrical behaviors of generated-defect-induced NBTI degradation. On the basis of these results, a composite NBTI model is constructed and lifetime projection is derived for the small pMOSFETs. (C) 2017 The Japan Society of Applied Physics
机译:这种波动会严重影响深度缩放的pMOSFET的负偏置温度不稳定性(NBTI)的寿命预测。在本文中,我们提出了一种新颖的差分方法,可将阈值电压漂移中与时间相关的波动相关分量与NBTI准静态分量分开。提取的与波动有关的成分表现出较弱的温度和时间依赖性,这与生长的缺陷诱发的俘获和释放的特征一致,而准静态成分表现出产生的缺陷诱发的NBTI降解的电行为。根据这些结果,构建了一个复合NBTI模型,并推导出了小型pMOSFET的寿命预测。 (C)2017日本应用物理学会

著录项

  • 来源
    《Japanese journal of applied physics》 |2017年第4s期|04CD13.1-04CD13.5|共5页
  • 作者单位

    Nanjing Univ, Coll Elect Sci & Engn, Nanjing 210093, Jiangsu, Peoples R China;

    Nanjing Univ, Coll Elect Sci & Engn, Nanjing 210093, Jiangsu, Peoples R China;

    Nanjing Univ, Coll Elect Sci & Engn, Nanjing 210093, Jiangsu, Peoples R China;

    Nanjing Univ, Coll Elect Sci & Engn, Nanjing 210093, Jiangsu, Peoples R China;

    Nanjing Univ, Coll Elect Sci & Engn, Nanjing 210093, Jiangsu, Peoples R China;

    Nanjing Univ, Coll Elect Sci & Engn, Nanjing 210093, Jiangsu, Peoples R China;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号