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Statistical mechanics based model for negative bias temperature instability induced degradation

机译:基于统计力学的负偏置温度不稳定性引起的退化模型

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摘要

A physics based model for negative bias temperature instability (NBTI) induced degradation is proposed. Like previous models, this model attributes NBTI to depassivation of Si-H bonds at the SiO_2/Si interface. The two distinguishing features of the proposed model are: (ⅰ) statistical mechanics is applied to calculate the decrease in interfacial Si-H density as a function of stressing conditions, and (ⅱ) hydrogen diffusion in the oxide is assumed to be dispersive and the diffusing species is identified with the positively charged hydrogen ion (H_i~+). The model assumes that as H_i~+ diffuses away from the interface into the oxide, interfacial and bulk traps are created. Based on these model assumptions, an equation for the threshold voltage shift (ΔV_t) is derived as a function of stressing time, oxide field, temperature, oxide thickness, and initial Si-H density at the interface. The model predicts that ΔV_t would increase with a power law dependence at earlier stressing times and would saturate at longer times. The power law increase at earlier stress times is attributed to dispersive hydrogen diffusion and ΔV_t saturation at longer stress times is ascribed to occur when all bonded hydrogen (Si-H) has been removed from the interface. These and other model predictions are verified using published NBTI data from various research groups for p-channel field effect transistors (pFETs). In addition, the model is shown to be compatible with NBTI data for HfO_2 pFETs.
机译:提出了基于物理的负偏压温度不稳定性(NBTI)引起的退化模型。像以前的模型一样,该模型将NBTI归因于SiO_2 / Si界面处Si-H键的钝化。所提出模型的两个显着特征是:(statistical)应用统计力学计算界面Si-H密度随应力条件的变化,(ⅱ)假设氧化物中氢的扩散是分散的,且用带正电的氢离子(H_i〜+)识别扩散物质。该模型假定,随着H_i〜+从界面扩散到氧化物中,将形成界面陷阱和本体陷阱。基于这些模型假设,得出了阈值电压偏移(ΔV_t)的方程,该方程是应力时间,氧化物场,温度,氧化物厚度和界面处初始Si-H密度的函数。该模型预测,ΔV_t将在更早的应力时间随幂律的关系而增加,并在较长的时间达到饱和。当所有键合氢(Si-H)已从界面上去除后,在较早的应力时间处的功率定律增加归因于分散的氢扩散,并且在较长的应力时间处发生了ΔV_t饱和。使用来自各个研究小组的已发布的NBTI数据对p沟道场效应晶体管(pFET)验证了这些模型预测和其他模型预测。此外,该模型显示与HfO_2 pFET的NBTI数据兼容。

著录项

  • 来源
    《Journal of Applied Physics 》 |2005年第10pt1期| p.103709.1-103709.9| 共9页
  • 作者

    Sufi Zafar;

  • 作者单位

    Semiconductor Research and Development Center, Research Division, T. J. Watson Research Center, IBM, Yorktown Heights, New York 10598;

  • 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 应用物理学 ;
  • 关键词

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