Variability analysis of FinFET-based devices and circuits considering electrical confinement and width quantization

S. H. Rasouli, K. Endo, K. Banerjee
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引用次数: 20

Abstract

FinFET is considered as the most likely candidate to substitute bulk CMOS technology. FinFET-based design, however, requires special attention due to its exclusive properties such as width quantization and electrical confinement (quantum-mechanical effect) even in subthreshold regime. Considering these exclusive properties of FinFETs, the sources of process variations and their effects on FinFET-based circuit characteristics can be significantly different from that in bulk CMOS devices. This paper identifies a new source of random process variation due to the gate work-function variation and resulting electrical confinement in emerging high-k/metal-gate FinFET devices. In order to capture the effect of the variations on the characteristics of multifin FinFETs (considering their width quantization property), this paper also presents a new statistical framework to accurately predict the effective threshold voltage of multifin FinFET devices. This framework is subsequently used to predict the leakage profile of FinFET-based SRAM cells. Since FinFETs are optimal for ultra-low-voltage operations due to near-ideal subthreshold swing (60 mV/dec), we focus on FinFET-based SRAM (including subthreshold SRAM) design. Contrary to the low sensitivity of the static noise margin (SNM) to the width of the pull-down devices in bulk-CMOS subthreshold SRAMs, our analysis shows, for the first time, the significant impact of employing multifin pull-down devices on the SNM of subthreshold FinFET SRAMs.
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考虑电约束和宽度量化的基于finfet的器件和电路的可变性分析
FinFET被认为是最有可能取代大块CMOS技术的候选器件。然而,基于finfet的设计需要特别注意,因为它的专有特性,如宽度量子化和电约束(量子力学效应),即使在亚阈值状态下。考虑到finfet的这些特性,工艺变化的来源及其对基于finfet的电路特性的影响可能与批量CMOS器件有很大不同。本文确定了新兴的高k/金属栅极FinFET器件中由于栅极功函数变化和由此产生的电限制而导致随机工艺变化的新来源。为了捕捉变化对多鳍FinFET特性的影响(考虑其宽度量化特性),本文还提出了一个新的统计框架来准确预测多鳍FinFET器件的有效阈值电压。该框架随后用于预测基于finfet的SRAM电池的泄漏曲线。由于接近理想的亚阈值摆幅(60 mV/dec), finfet是超低电压操作的最佳选择,因此我们专注于基于finfet的SRAM(包括亚阈值SRAM)设计。与块体cmos亚阈值sram中静态噪声裕度(SNM)对下拉器件宽度的低灵敏度相反,我们的分析首次表明,采用多鳍下拉器件对亚阈值FinFET sram的SNM有显著影响。
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