Input-Referred Low-Frequency Noise Analysis for Single-Layer Graphene FETs

被引:0
|
作者
Mavredakis, Nikolaos [1 ]
Jimenez, David [1 ]
机构
[1] Univ Autonoma Barcelona, Dept Engn Elect, Escola Engn, Bellaterra 08193, Spain
关键词
Circuit design; compact model; graphene transistor (GFET); input-referredlow-frequency noise (LFN);
D O I
10.1109/TED.2021.3100003
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
The bias dependence of input-referred low-frequency noise (LFN), S-VG, is a considerable facet for RF circuit design. S-VG was considered constant in CMOS but this was contradicted by recent experimental and theoretical studies. In this brief, the behavior of S-VG is investigated for single-layer graphene transistors (GFETs) based on a recently established physics-based compact model. A minimum of S-VG is recorded at the bias point where transconductance is maximum which coincides with the peak of the well-known M-shape of the normalized output LFN; the model precisely captures this trend. Mobility fluctuation effect increases S-VG toward lower currents near charge neutrality point (CNP), while carrier number fluctuation and series resistance effects mostly contribute away from CNP; thus, S-VG obtains a parabolic shape versus gate voltage similar to CMOS devices.
引用
收藏
页码:4762 / 4765
页数:4
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