基于统计方法的MOS晶体管和模拟CMOS电路可靠性估计电路模型

A. Kuntman, H. Kuntman
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引用次数: 0

摘要

现代CMOS技术正在不断缩小规模。因此,由于热载流子注入、负偏置和正偏置温度不稳定性(N/PBTI)和温度相关介电击穿(TDDB)等物理效应,模拟设计人员在设计中存在严重的可靠性问题。因此,评估这些退化机制引起的偏差是稳健设计的一个重要因素。请注意,CMOS结构的可靠性已经考虑了40多年。一些研究已经在MOS结构中进行了这些降解效应,并出现在文献中。在文献中可获得的大多数可靠性研究中,都提出了物理模型。然而,物理模型的制备困难似乎是这些类型模型最重要的缺点。为了克服物理模型的这些缺点,一些研究引入了基于实验结果观察的统计方法。在这次演讲中,对N-MOS和PMOS晶体管的漏极电流和阈值电压的退化建模的统计方法进行了综述。[请注意,这些模型是基于在应力电压条件下操作设备的观察结果。利用这些观测结果对降解的影响进行了统计研究,并引入了一种新的统计方法来替代文献中给出的统计方法。对退化的观测值和估计值进行了比较。所介绍的模型不依赖于实现技术,具有仿真时间短、精度高的特点。本综述的所有数据均来自伊斯坦布尔大学和伊斯坦布尔技术大学近期开展的研究工作。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Circuit Model for Statistical Method Based Reliability Estimation of MOS Transistors and Analog CMOS Circuits
Modern CMOS technologies are continuously scaling down. As a result of this, analog designers have serious reliability problems in their designs caused by physical effects such as hot carrier injection, negative and positive bias temperature instability (N/PBTI) and temperature dependent dielectric breakdown (TDDB). Therefore, it is an important factor estimating the deviations caused by these degradation mechanisms for a robust design. Note that the reliability of CMOS structures are considered for more than 40 years. Several works have been performed on these degradation effects in MOS structures and appeared in the literature. In most of the reliability studies available in the literature, physical models were proposed. However, difficulties in preparation of physical models seem to be the most important disadvantages of these type models. To overcome these disadvantages of physical models, statistical methods based on observation of experimental results have been introduced in some works. In this talk, statistical methods for modelling of the degradation caused deviations in the drain current and threshold voltage of the N-MOS and PMOS transistors are reviewed. [Note that these models are based on the observations by operating the device under stress voltage conditions. Using these observation results the effect of degradation was investigated statistically and a new statistical method was introduced to be an alternative to those given in the literature. The observed and the estimated values of the degradation are compared. The models introduced are independent of the realization technology and exhibit short simulation time and high accuracy. All data in this review is taken from the recent research works performed in Istanbul University and Istanbul Technical University.
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