兆兆级集成系统中MOSFET与CNFET变化的比较

A. A. M. Shahi, P. Zarkesh-Ha, M. Elahi
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引用次数: 11

摘要

利用先前建立的CNFET中碳纳米管密度变化模型和MOSFET中随机掺杂波动模型,我们比较并展示了千兆级集成系统中MOSFET和CNFET的整体器件变化。即使在制造过程中可以很好地控制所有的变化源,要控制MOSFET中的掺杂波动和CNT器件技术中的碳纳米管密度变化是非常困难的(如果不是不切实际的话)。我们的分析表明,在32nm技术节点上,典型n型MOSFET的随机掺杂波动会产生1.1%的导通电流、6.7%的关断电流、0.23%的输入电容和1.6%的阈值电压变化,而典型n型CNFET的碳纳米管密度变化会产生23%的导通电流、22%的关断电流、23%的栅极电容和仅0.011%的阈值电压变化。根据我们的分析,尽管CNFET的阈值电压变化很小,但CNFET的总体变化比mosfet的变化更差。因此,在当前的千兆级和未来的万亿级集成系统中,必须仔细考虑碳纳米管密度的变化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Comparison of variations in MOSFET versus CNFET in gigascale integrated systems
Using previously developed model for CNT density variation in CNFETs and random dopant fluctuation model in MOSFET, we compared and presented overall device variations in MOSFET and CNFET for gigascale integrated systems. Even if all of the sources of variation can be well-controlled in the manufacturing process, it is very hard (if not impractical) to control the dopant fluctuation in MOSFET and CNT density variation in CNFET device technology. Our analysis shows that in 32nm technology node, the random dopant fluctuation in a typical n-type MOSFET creates 1.1% on-current, 6.7% off-current, 0.23% input capacitance, and 1.6% threshold voltage variations, while the CNT density variation in a typical n-type CNFET with 10 CNTs in the channel creates 23% on-current, 22% off-current, 23% gate capacitance and only 0.011% threshold voltage variations. Based on our analysis, although the threshold voltage variation in CNFET is very small, the overall variations in CNFETs are worse than the variations in MOSFETs. As a result CNT density variation in CNFETs must be carefully taken into account for current gigascale and future terascale integrated systems.
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