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Read static noise margin aging model considering SBD and BTI effects for FinFET SRAMs

机译:阅读考虑FinFET SRAM的SBD和BTI效应的静态噪声裕量老化模型

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In this paper, an accurate aging model for Read Static Noise Margin (RSNM) of conventional 6 transistors (6T) FinFET SRAM cell is presented. The model, which is developed based on accurate 1-V formulation suitable for FinFET, considers soft oxide breakdown (SBD) as well as bias temperature instability (BTI) effects. The accuracy of the model is verified by comparing its results with those of HSPICE simulations for the 14 nm and 10 nm technologies. The results show the maximum errors of 0.63% and 0.54% for the 14 nm and 10 nm technologies, respectively, when averaged over a wide range of stress times and supply voltages. The model also may be used to accurately predict the cumulative distribution function of the RSNM in the presence of the process variation with a very small error compared to the one obtained from the Monte Carlo approach with a considerably short runtime. (C) 2016 Elsevier Ltd. All rights reserved.
机译:本文提出了一种精确的老化模型,用于常规6晶体管(6T)FinFET SRAM单元的读取静态噪声裕量(RSNM)。该模型基于适合FinFET的精确1-V公式开发,考虑了软氧化物击穿(SBD)以及偏置温度不稳定性(BTI)的影响。通过将模型结果与针对14 nm和10 nm技术的HSPICE仿真结果进行比较,可以验证模型的准确性。结果表明,在宽的应力时间和电源电压范围内平均时,14 nm和10 nm技术的最大误差分别为0.63%和0.54%。与从蒙特卡罗方法获得的,具有相当短的运行时间的过程相比,该模型还可以用于在存在过程变化的情况下以非常小的误差来准确地预测RSNM的累积分布函数。 (C)2016 Elsevier Ltd.保留所有权利。

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