CNFET阵列中碳纳米管的最佳间距以获得最高的电路性能

A. Raychowdhury, A. Keshavarzi, J. Kurtin, V. De, K. Roy
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引用次数: 8

摘要

碳纳米管场效应晶体管(cnfet)已成为传统硅mosfet的非常有前途的替代品。人们经常争论,主要是定性地争论,单个碳纳米管晶体管对于超大规模集成电路是没有用的,人们需要晶体管阵列来获得足够的电流,特别是驱动固定电容负载。在本文中,我们研究了阵列中碳纳米管的最佳间距以获得最高的性能。我们在分析中使用的CNFET是肖特基势垒CNFET(图la),具有中隙源/漏功函数,20nm弹道通道,平面顶栅极,2nm厚的HfO2电介质。它的工作原理是栅极电压和载流子通过肖特基势垒隧道来调制势垒厚度(图lb)。本文使用了[2]中描述的使用NEGF的cnfet模拟方法。为了估计纳米管之间的耦合,在三维空间中求解了碳纳米管阵列的泊松方程。末端效应被忽略了。将数值I-V和C-V数据导入电路模拟器并求解。图2a显示了顶部栅极结构,图2b显示了电荷在栅极上的分布情况,对于不同的T0x,为了获得高性能,必须使用良好控制的生长过程,在此过程中,人们将能够合成具有适当源/漏极和栅极结构的平行碳纳米管阵列。假设宽度为100nm,其中需要以阵列的形式布置直径为d、纳米管间距为S的CNTs(图3a)。让我们考虑这个晶体管驱动一个相同的晶体管。从器件设计的角度来看,已提出的最佳间距S约为碳纳米管直径的两倍(S=2d)[3]或S=2d + 4T0,。[4]。然而,电路级分析还应包括寄生电容和负载电容的作用。寄生效应(如栅极重叠或接触)与晶体管宽度成比例,而引脚和互连电容则不是。我们有两种情况要考虑:1。固有负载情况:一方面,我们只能有一个CNFET驱动另一个CNFET所对应的固有负载电容。这包括器件电容,并与管数n成正比。这种晶体管的延迟可以简化为:低(CEXT PER TUBE X No.)。VDD (CPER管)DD低负荷TPEP x编号管I(1)离子IPER管X号IPER管
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimal Spacing of Carbon Nanotubes in a CNFET Array for Highest Circuit Performance
Carbon Nanotube field effect transistors (CNFETs) have appeared as very promising alternatives to traditional Si MOSFETs. It has often been argued, mostly qualitatively, that single CNT transistors would not be useful for VLSI, and one needs to have transistor arrays to get sufficient current out of them particularly to drive fixed capacitive loads. In this paper we investigate the optimal spacing of carbon nanotubes in an array for the highest performance. The CNFET that we have used in our analyses are Schottky Barrier CNFETs (Fig. la) with mid-gap Source/Drain work function, 20nm ballistic channel, a planar top gate with a 2nm thick HfO2 dielectric. It works on the principle of barrier thickness modulation by a gate voltage and carrier tunneling through the Schottky barrier (Fig. lb). The simulation methodology for CNFETs using NEGF as described in [2] has been used in this paper. To estimate the coupling between nanotubes, Poisson Equation is solved in 3D for arrays of CNTs. End effects have been neglected. The numerical I-V and C-V data have been imported to a circuit simulator and solved. Fig. 2a illustrates the top gate structure and Fig. 2b illustrates how the charge is distributed on the gate, for different T0x For high performance it is imperative to use well controlled growth processes where one would be able to synthesize an array of parallel carbon nanotubes with proper source/drain and gate structures. Let us consider a width of 100nm where CNTs of diameter d and inter-nanotube spacing, S need to be laid out in the form of an array (Fig. 3a). Let us consider that this transistor is driving an identical transistor. From a device design perspective, the optimal spacing S has been proposed to be approximately two times the CNT diameter (S=2d) [3] or S=2d + 4T0,. [4]. However, a circuit level analysis should also incorporate the role of parasitic and load capacitances. The parasitics (like the gate overlap or contact) scale with the transistor width, whereas pin and interconnect capacitances do not. We have two cases to consider: 1. Intrinsic load case: On one hand we can only have the intrinsic load capacitance corresponding to a CNFET driving another CNFET. This includes the device capacitance and is proportional to the number of tubes N. The delay of such a transistor can be simplified to: Low(CEXT PER TUBE X No. of Tubes)VDD (CPER TUBE )DD LwLOAD TPEP x No.ofTubes I (1) ION IPER TUBE X No. of Tubes IPER TUBE
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