Simulation-Based Recommendations for Digital Circuits Design Using Schottky-Barrier-Type GNRFET

被引:7
作者
Abbasian, Erfan [1 ]
Nayeri, Maryam [2 ]
机构
[1] Babol Noshirvani Univ Technol, Fac Elect & Comp Engn, Babol, Iran
[2] Islamic Azad Univ, Dept Elect Engn, Yazd Branch, Yazd, Iran
关键词
GRAPHENE NANORIBBON; LOW-POWER; DEVICE;
D O I
10.1149/2162-8777/ac7c39
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
The use of graphene nano-ribbon field-effect transistors (GNRFETs) in the nanoscale circuits design is challenging because there are several adjustable parameters that need to be selected carefully. In this paper, we evaluate the impact of changes in different GNRFETs' parameters including channel length (L-ch), oxide thickness (T-ox), line-edge roughness (P-r), number of dimer lines (N), supply voltage, and temperature on the performance of inverter, Flip-Flop, and SRAM circuits. Performance analysis in terms of noise margin (NM), delay, average power, and energy-delay-product (EDP) show that those adjustable parameters of the GNRFETs are of a significant role in attaining low-power or high-performance requirements. To achieve low-power designs, GNRFETs with perfectly smooth edges and higher T-ox should be used. For low-power designs with a smaller oxide thickness, it is suggested to select 9 for N with very low P-r. Otherwise, the priority would be choosing 13 for N. To attain high-performance designs with low delay, it is recommended to use the GNRFETs without P-r. If the edges of graphene nano-ribbons are not smooth, choosing (3p+1, p is an element of N) periodic for N provides a potential improvement in circuit delay. Moreover, selecting 18 for N and smaller T-ox provides a potential improvement in circuit delay. (C) 2022 The Electrochemical Society ("ECS"). Published on behalf of ECS by IOP Publishing Limited.
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页数:9
相关论文
共 25 条
[11]  
Gholipour M., DESIGN AUTOMATION TE, DOI [10.7873/date.2014.133, DOI 10.7873/DATE.2014.133]
[12]   Compact Modeling to Device- and Circuit-Level Evaluation of Flexible TMD Field-Effect Transistors [J].
Gholipour, Morteza ;
Chen, Ying-Yu ;
Chen, Deming .
IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2018, 37 (04) :820-831
[13]   A Compact Short-Channel Model for Symmetric Double-Gate TMDFET in Subthreshold Region [J].
Gholipour, Morteza .
IEEE TRANSACTIONS ON ELECTRON DEVICES, 2017, 64 (08) :3466-3469
[14]   Analytical SPICE-Compatible Model of Schottky-Barrier-Type GNRFETs With Performance Analysis [J].
Gholipour, Morteza ;
Chen, Ying-Yu ;
Sangai, Amit ;
Masoumi, Nasser ;
Chen, Deming .
IEEE TRANSACTIONS ON VERY LARGE SCALE INTEGRATION (VLSI) SYSTEMS, 2016, 24 (02) :650-663
[15]   Asymmetric Gate Schottky-Barrier Graphene Nanoribbon FETs for Low-Power Design [J].
Gholipour, Morteza ;
Masoumi, Nasser ;
Chen, Ying-Yu ;
Chen, Deming ;
Pourfath, Mahdi .
IEEE TRANSACTIONS ON ELECTRON DEVICES, 2014, 61 (12) :4000-4006
[16]   Graphene nanoribbon crossbar architecture for low power and dense circuit implementations [J].
Gholipour, Morteza ;
Masoumi, Nasser .
MICROELECTRONICS JOURNAL, 2014, 45 (11) :1533-1541
[17]   Device Performance of Graphene Nanoribbon Field-Effect Transistors in the Presence of Line-Edge Roughness [J].
Goharrizi, Arash Yazdanpanah ;
Pourfath, Mahdi ;
Fathipour, Morteza ;
Kosina, Hans .
IEEE TRANSACTIONS ON ELECTRON DEVICES, 2012, 59 (12) :3527-3532
[18]   Sequential Element Timing Parameter Definition Considering Clock Uncertainty [J].
Harris, David Money .
IEEE TRANSACTIONS ON VERY LARGE SCALE INTEGRATION (VLSI) SYSTEMS, 2015, 23 (11) :2705-2708
[19]   Simulation of Filed Effect Sensor Based on Graphene Nanoribbon to Detect Toxic NO Gas [J].
Jodat, Amin ;
Bayani, Amir Hossein .
SILICON, 2018, 10 (06) :2695-2699
[20]  
Joshi S, 2017, J NANOTECHNOL, V2017, DOI 10.1155/2017/4575013