首页> 外文期刊>Microelectronics & Reliability >Analytical parameter extraction for NBTI reaction diffusion and trapping/detrapping models
【24h】

Analytical parameter extraction for NBTI reaction diffusion and trapping/detrapping models

机译:NBTI反应扩散和捕集/捕集模型的分析参数提取

获取原文
获取原文并翻译 | 示例

摘要

Accurate parameters of negative bias temperature instability (NBTI) model are essential to predict the circuit lifetime during circuit design. This paper presents the extraction methods of NBTI model parameters for the NBTI reaction-diffusion (R-D) and trapping/detrapping (T/D) models. The R-D model parameters extraction mainly includes two steps: linear approximation and optimized extraction. In the first step, the term of Delta V-th(1/2n) is described as approximately linear with t(0.5) after the coordinate system conversion, where Delta V-th is the degradation in threshold voltage and t is elapsing time. Then, the model parameters can be roughly calculated. In the second, an objective function of the genetic algorithm (GA) has been built up and its constraints can be determined by referring the values gotten from the first step. After solving the function, a set of accurate parameters of the NBTI model can be achieved. Similarly, the T/D model parameters extraction involves the curves fitting and further optimization based on the GA Both the R-D and T-D extraction methods have been validated using a 40-nm CMOS process, and it is easy to implement the extraction procedures in a program extractor. (C) 2016 Elsevier Ltd. All rights reserved.
机译:负偏置温度不稳定性(NBTI)模型的准确参数对于预测电路设计期间的电路寿命至关重要。本文介绍了NBTI反应扩散(R-D)模型和捕集/捕集(T / D)模型的NBTI模型参数的提取方法。 R-D模型参数提取主要包括两个步骤:线性逼近和优化提取。第一步,在坐标系转换后,将ΔV-th(1 / 2n)项描述为与t(0.5)近似线性,其中ΔV-th是阈值电压的降低,t是经过时间。然后,可以粗略计算模型参数。第二,建立了遗传算法(GA)的目标函数,可以通过参考从第一步获得的值来确定其约束条件。求解该函数后,可以实现NBTI模型的一组准确参数。同样,T / D模型参数提取涉及基于GA的曲线拟合和进一步优化RD和TD提取方法均已使用40 nm CMOS工艺进行了验证,并且很容易在程序中实现提取程序提取器。 (C)2016 Elsevier Ltd.保留所有权利。

著录项

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