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Variability in Nanoscale UTB SOI Devices and its Impact on Circuits and Systems

机译:纳米透视UTB SOI设备的可变性及其对电路和系统的影响

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We have studied, using 3D statistical simulation, the variability in UTB SOI MOSFETs with sub 10nm dimensions introduced by random discrete dopants in the source/drain region, body thickness variation and line edge roughness. We have shown that the random dopants in the source/drain regions are the main source of variability in the studied devices. The results of the physical drift-diffusion simulation with quantum corrections are captured into statistical BSIMSOI compact model which are then used for statistical SRAM simulation. We have shown that SRAMs based on 10 nm UTB SOI transistor have less variability and better yield compared to SRAM based on 35 nm conventional (bulk) MOSFETs. However the scaling of the UTB SOI MOSFETs below 7.5 nm will cause significant yield and reliability problems in the corresponding UTB SOI SRAMs.
机译:我们已经研究了3D统计模拟,通过源/漏区的随机离散掺杂剂引入了UTB SOI MOSFET中的可变性,主体厚度变化和线边缘粗糙度。我们已经表明,源/漏区中的随机掺杂剂是研究装置中的变异性的主要来源。用量子校正的物理漂移扩散模拟的结果被捕获到统计BSIMSOI紧凑型模型中,然后用于统计SRAM仿真。我们已经表明,基于35nm常规(散装)MOSFET的SRAM相比,基于10nm UTB SOI晶体管的SRAM具有较小的变化和更好的收益率。但是,UTB SOI MOSFET的缩放在7.5nm以下将在相应的UTB SOI SRAM中造成显着的产量和可靠性问题。

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