论文标题
单层石墨烯FET中低频噪声的偏差依赖性变异性
Bias Dependent Variability of Low Frequency Noise in Single Layer Graphene FETs
论文作者
论文摘要
石墨烯晶体管(GFET)的低频噪声(LFN)可变性是在这项工作中首次研究。在多种操作条件下测量了长渠道溶液门控单层GFET的足够统计样本的LFN,同时得出了基于物理的分析模型,以说明LFN方差的偏见依赖性具有出色的性能。理论上证明并在实验上证明了GFET中的LFN偏差源于产生LFN的物理机制。因此,由于捕获/降低过程和迁移率波动DM引起的载波数DM,这是LFN的主要原因,将其变异性同样定义为平均值。在电荷中性点(CNP)处,DN的归一化LFN方差与栅极偏置的M形分别是归一化LFN平均值是这种情况,而DM仅在CNP接近CNP方面的方差和平均值。实验表明,陷阱统计性质不同于硅氧化物设备的经典泊松分布,这可能是由于正在研究的GFET中的电解质界面引起的。总体而言,GFET技术开发仍处于过早的阶段,这可能会导致关键不一致会影响同一过程GFET的缩放定律。
Low-frequency noise (LFN) variability in graphene transistors (GFETs) is for the first time researched in this work. LFN from an adequate statistical sample of long-channel solution-gated single-layer GFETs is measured in a wide range of operating conditions while a physics-based analytical model is derived that accounts for the bias dependence of LFN variance with remarkable performance. It is theoretically proved and experimentally validated that LFN deviations in GFETs stem from physical mechanisms that generate LFN. Thus, carrier number DN due to trapping/detrapping process and mobility fluctuations Dm which are the main causes of LFN, define its variability likewise as its mean value. DN accounts for an M-shape of normalized LFN variance versus gate bias with a minimum at the charge neutrality point (CNP) as it was the case for normalized LFN mean value while Dm contributes only near the CNP for both variance and mean value. Trap statistical nature is experimentally shown to differ from classical Poisson distribution at silicon-oxide devices, and this is probably caused by electrolyte interface in GFETs under study. Overall, GFET technology development is still in a premature stage which might cause pivotal inconsistencies affecting the scaling laws in GFETs of the same process.