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An accurate analytical I-V model for sub-90-nm MOSFETs and its application to read static noise margin modeling

机译:适用于90nm以下MOSFET的精确I-V分析模型及其在读取静态噪声容限模型中的应用

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We propose an accurate model to describe the I-V characteristics of a sub-90-nm metal–oxide–semiconductor field-effect transistor (MOSFET) in the linear and saturation regions for fast analytical calculation of the current. The model is based on the BSIM3v3 model. Instead of using constant threshold voltage and early voltage, as is assumed in the BSIM3v3 model, we define these voltages as functions of the gate-source voltage. The accuracy of the model is verified by comparison with HSPICE for the 90-, 65-, 45-, and 32-nm CMOS technologies. The model shows better accuracy than the nth-power and BSIM3v3 models. Then, we use the proposed I-V model to calculate the read static noise margin (SNM) of nano-scale conventional 6T static random-access memory (SRAM) cells with high accuracy. We calculate the read SNM by approximating the inverter transfer voltage characteristic of the cell in the regions where vertices of the maximum square of the butterfly curves are placed. The results for the SNM are also in excellent agreement with those of the HSPICE simulation for 90-, 65-, 45-, and 32-nm technologies. Verification in the presence of process variations and negative bias temperature instability (NBTI) shows that the model can accurately predict the minimum supply voltage required for a target yield.
机译:我们提出了一个精确的模型来描述线性和饱和区域中90nm以下的金属-氧化物-半导体场效应晶体管(MOSFET)的I-V特性,以便快速分析电流。该模型基于BSIM3v3模型。代替使用BSIM3v3模型中假定的恒定阈值电压和早期电压,我们将这些电压定义为栅极-源极电压的函数。通过与90、65、45和32纳米CMOS技术的HSPICE进行比较,验证了模型的准确性。与nth-power和BSIM3v3模型相比,该模型显示出更好的准确性。然后,我们使用提出的I-V模型来计算纳米级常规6T静态随机存取存储器(SRAM)单元的读取静态噪声容限(SNM)的准确性很高。我们通过近似放置蝶形曲线最大平方顶点的区域中单元的逆变器传输电压特性来计算读取的SNM。 SNM的结果也与90、65、45和32纳米技术的HSPICE仿真结果非常吻合。在存在工艺变化和负偏置温度不稳定性(NBTI)的情况下进行的验证表明,该模型可以准确预测目标产量所需的最小电源电压。

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