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On the Variability in Planar FDSOI Technology: From MOSFETs to SRAM Cells

机译:平面FDSOI技术的可变性:从MOSFET到SRAM单元

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In this paper, an in-depth variability analysis, i.e., from the threshold voltage $V_{T}$ of metal–oxide–semiconductor field-effect-transistors (MOSFETs) to the static noise margin (SNM) of static random-access memory (SRAM) cells, is presented in fully depleted silicon-on-insulator (FDSOI) technology. The local $V_{T}$ variability $sigma_{V_{T}}$ lower than $A_{V_{T}} = hbox{1.4} hbox{mV}cdotmuhbox{m}$ is demonstrated. We investigated how this good $V_{T}$ variability is reported on the SNM fluctuations $sigma_{rm SNM}$ at the SRAM circuit level. It is found experimentally that $sigma_{rm SNM}$ is correlated directly to the $sigma_{V_{T}}$ of SRAM transistors without any impact of the mean SNM value. The contributions of the individual MOSFETs in the SRAM cells have been determined quantitatively by using a homemade Simulation Program with Integrated Circuit Emphasis compact model calibrated on our FDSOI electrical characteristics. The $V_{T}$ variability in n-channel MOSFETs (nMOSFETs) is more critical than that in p-channel MOSFETs for SNM fluctuations, and $sigma_{V_{T}}$ in drive nMOSFETs is the key parameter to control for minimizing $sigma_{rm SNM}$.
机译:本文进行了深入的可变性分析,即从金属氧化物半导体场效应晶体管(MOSFET)的阈值电压$ V_ {T} $到静态随机存取的静态噪声容限(SNM)完全耗尽型绝缘体上硅(FDSOI)技术提供了存储(SRAM)单元。演示了低于$ A_ {V_ {T}} = hbox {1.4} hbox {mV} cdotmuhbox {m} $的局部$ V_ {T} $变异性$ sigma_ {V_ {T}} $。我们研究了如何在SRAM电路级的SNM波动$ sigma_ {rm SNM} $上报告这种良好的$ V_ {T} $变异性。通过实验发现,$ sigma_ {rm SNM} $与SRAM晶体管的$ sigma_ {V_ {T}} $直接相关,而对平均SNM值没有任何影响。 SRAM单元中各个MOSFET的贡献已通过使用自制的模拟程序进行了定量确定,该程序带有针对我们FDSOI电气特性校准的集成电路强调紧凑模型。对于SNM波动,n沟道MOSFET(nMOSFET)的$ V_ {T} $变异性比p沟道MOSFET更为关键,驱动nMOSFET的$ sigma_ {V_ {T}} $是控制噪声的关键参数最小化$ sigma_ {rm SNM} $。

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