首页> 外文期刊>Microelectronics & Reliability >An analytical model for read static noise margin including soft oxide breakdown, negative and positive bias temperature instabilities
【24h】

An analytical model for read static noise margin including soft oxide breakdown, negative and positive bias temperature instabilities

机译:用于读取静态噪声容限的分析模型,包括软氧化物击穿,负和正偏置温度不稳定性

获取原文
获取原文并翻译 | 示例

摘要

In this paper, we propose an accurate model for the read static noise margin (SNM). The model includes the effects of soft oxide breakdown (SBD), negative and positive bias temperature instabilities (NBT1 and PBTI, respectively). To assess the accuracy of the proposed model, its predictions are compared with those of HSPICE simulations for 32, and 22 nm technologies. The comparison verifies the high accuracy of the model. The results show a maximum error of 4.5% for a wide range of supply voltages. Using this model, the effect of bias temperature instabilities on the aggravation of the read SNM by SBD is also studied. The study shows that both NBTI and PBTI phenomena worsen the effect of SBD on the read SNM by 34%.
机译:在本文中,我们为读取的静态噪声容限(SNM)提出了一个准确的模型。该模型包括软氧化物击穿(SBD),负偏压和正偏压温度不稳定性(分别为NBT1和PBTI)的影响。为了评估所提出模型的准确性,将其预测与针对32和22 nm技术的HSPICE仿真的预测进行了比较。比较结果验证了模型的高精度。结果表明,在宽范围的电源电压下,最大误差为4.5%。使用该模型,还研究了偏置温度不稳定性对SBD读取SNM加剧的影响。研究表明,NBTI和PBTI现象都会使SBD对读取的SNM的影响恶化34%。

著录项

  • 来源
    《Microelectronics & Reliability》 |2013年第5期|670-675|共6页
  • 作者单位

    Nanoelectronics Center of Excellence, School of Electrical and Computer Engineering, University of Tehran, College of Engineering, Tehran, Iran;

    Nanoelectronics Center of Excellence, School of Electrical and Computer Engineering, University of Tehran, College of Engineering, Tehran, Iran;

    Nanoelectronics Center of Excellence, School of Electrical and Computer Engineering, University of Tehran, College of Engineering, Tehran, Iran;

    Department of Electrical and Computer Engineering, San Francisco State University, CA, USA;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 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