Optimization of quantum capacitance and improvement of RF performance in dual-ribbon GNRFET by tuning the GNR-to-GNR distance

IF 2.5 4区 工程技术 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC
Amir Ghadiyani, Hossein Karimiyan Alidash
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引用次数: 0

Abstract

We have optimized the RF parameters in dual-ribbon GNRFET transistors by reducing the GNR-to-GNR distance. We used the semi-empirical computational method of extended Hückel theory for calculations. The total capacitance arises from the combination of a parallel-plate electrostatic capacitance and quantum capacitance, wherein the second factor dominates in the overall calculation. To compute the quantum capacitance, we employed the density of states integral. Simulation results confirm the presence of non-uniform behavior in the CV characteristic curve. Transmission conductance, intrinsic gate delay, power delay product, and \({f}_{\text{T}}{L}_{\text{g}}\) product are evaluated in this study. The results indicate that the RF performance of the dual-ribbon device can be significantly improved by reducing the GNR-to-GNR distance. Decreasing the GNR-to-GNR distance by 2 nm (from 2.5 to 0.5 nm) improved the \({f}_{\text{T}}{L}_{\text{g}}\) product by 510% for GNR (6,0) and increased it approximately 20-fold for GNR (7,0). That dimensional change reduced the intrinsic gate delay by 83.6% for GNR (6,0) and 90% for GNR (7,0). Additionally, a 13.6-fold reduction in PDP for GNR (6,0) and an 11-fold reduction in GNR (7,0) are other results of reducing GNR-to-GNR distance.

Abstract Image

通过调节gnr - gnr距离优化双带GNRFET的量子电容和提高射频性能
我们通过减小gnr到gnr的距离来优化双带GNRFET晶体管的射频参数。我们使用扩展h ckel理论的半经验计算方法进行计算。总电容由平行板静电电容和量子电容组合而成,其中量子电容在整体计算中占主导地位。为了计算量子电容,我们采用了态密度积分。仿真结果证实了C-V特性曲线存在非均匀性。本研究评估传输电导、本征门延迟、功率延迟积及\({f}_{\text{T}}{L}_{\text{g}}\)积。结果表明,减小gnr到gnr的距离可以显著提高双带器件的射频性能。将gnr到gnr的距离减少2 nm(从2.5 nm到0.5 nm), \({f}_{\text{T}}{L}_{\text{g}}\)的产物提高了510% for GNR (6,0) and increased it approximately 20-fold for GNR (7,0). That dimensional change reduced the intrinsic gate delay by 83.6% for GNR (6,0) and 90% for GNR (7,0). Additionally, a 13.6-fold reduction in PDP for GNR (6,0) and an 11-fold reduction in GNR (7,0) are other results of reducing GNR-to-GNR distance.
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来源期刊
Journal of Computational Electronics
Journal of Computational Electronics ENGINEERING, ELECTRICAL & ELECTRONIC-PHYSICS, APPLIED
CiteScore
4.50
自引率
4.80%
发文量
142
审稿时长
>12 weeks
期刊介绍: he Journal of Computational Electronics brings together research on all aspects of modeling and simulation of modern electronics. This includes optical, electronic, mechanical, and quantum mechanical aspects, as well as research on the underlying mathematical algorithms and computational details. The related areas of energy conversion/storage and of molecular and biological systems, in which the thrust is on the charge transport, electronic, mechanical, and optical properties, are also covered. In particular, we encourage manuscripts dealing with device simulation; with optical and optoelectronic systems and photonics; with energy storage (e.g. batteries, fuel cells) and harvesting (e.g. photovoltaic), with simulation of circuits, VLSI layout, logic and architecture (based on, for example, CMOS devices, quantum-cellular automata, QBITs, or single-electron transistors); with electromagnetic simulations (such as microwave electronics and components); or with molecular and biological systems. However, in all these cases, the submitted manuscripts should explicitly address the electronic properties of the relevant systems, materials, or devices and/or present novel contributions to the physical models, computational strategies, or numerical algorithms.
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