Radio-Frequency Performance of Carbon Nanotube-Based Devices and Circuits Considering Noise and Process Variation

被引:13
|
作者
Martin Landauer, Gerhard [1 ]
Luis Gonzalez, Jose [2 ]
机构
[1] Univ Politecn Cataluna, Dept Elect Engn, ES-08034 Barcelona, Spain
[2] CEA Leti Dacle Lair, F-38054 Grenoble, France
关键词
Carbon nanotube (CNT); carbon-nanotube field-effect transistor (CNFET); noise model; performance benchmarking; process variability; radio frequency (RF); TRANSISTORS INCLUDING NONIDEALITIES; COMPACT SPICE MODEL; PART II; ELECTRONICS; VCO;
D O I
10.1109/TNANO.2014.2298094
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
This paper provides a global overview of the radiofrequency (RF) performance potential of carbon-nanotube field-effect transistors (CNFET), which for the first time includes the impact of noise. We develop noise and manufacturing process variability extensions for the Stanford CNFET compact model, implemented in Verilog-A and compatible with conventional circuit simulators. CNFET figures-of-merit (FoM) are determined both on the device and on the circuit level. Compared to silicon technology, CNFET devices show much better performance in terms of most of the RF-CMOS requirements of the International Technology Roadmap for Semiconductors. FoM projections for basic RF building blocks (low-noise amplifier and oscillator) show that good performance can already be obtained with simple circuit topologies. The main advantage of CNFET circuits yet lies in easily reaching operation frequencies of several hundreds of gigahertz, which are hard to be exploited by silicon technologies at similar technology nodes.
引用
收藏
页码:228 / 237
页数:10
相关论文
共 50 条
  • [41] A review of high-performance carbon nanotube-based carbon fibers
    Lee, Dongju
    Heo, So Jeong
    Kim, Seo Gyun
    Ku, Bon-Cheol
    FUNCTIONAL COMPOSITES AND STRUCTURES, 2023, 5 (04):
  • [42] Functional Single-Walled Carbon Nanotube-based Molecular Devices
    Liu Song
    Guo Xuefeng
    ACTA CHIMICA SINICA, 2013, 71 (04) : 478 - 484
  • [43] Correlation Between Structural and Sensing Properties of Carbon Nanotube-Based Devices
    Baldo, S.
    Scalese, S.
    Scuderi, V.
    Tripodi, L.
    La Magna, A.
    Romano, L.
    Leonardi, S. G.
    Donato, N.
    SENSORS, 2015, 319 : 207 - 210
  • [44] Nanoimprint Lithography for Next-Generation Carbon Nanotube-Based Devices
    Fialkova, Svitlana
    Yarmolenko, Sergey
    Krishnaswamy, Arvind
    Sankar, Jagannathan
    Shanov, Vesselin
    Schulz, Mark J.
    Desai, Salil
    NANOMATERIALS, 2024, 14 (12)
  • [45] Exploring the magnetically induced field effect in carbon nanotube-based devices
    Fedorov, G.
    Tselev, A.
    Jimenez, D.
    Latil, S.
    Kalugin, N. G.
    Barbara, P.
    Smirnov, D.
    Roche, S.
    PHYSICA E-LOW-DIMENSIONAL SYSTEMS & NANOSTRUCTURES, 2008, 40 (05): : 1010 - 1013
  • [46] Modelling of carbon nanotube-based devices: from nanoFETs to THz emitters
    Di Carlo, Aldo
    Pecchia, Alessandro
    Petrolati, Eleonora
    Paoloni, Claudio
    NANOMODELING II, 2006, 6328
  • [47] Nonlinear noise in SiGe bipolar devices and its impact on radio-frequency amplifier phase noise
    Gribaldo, S
    Cibiel, G
    Llopis, O
    Graffeuil, J
    NOISE AND FLUCTUATIONS, 2005, 780 : 513 - 516
  • [48] Enhanced Thermoelectric Performance of Polythiophene/Carbon Nanotube-Based Composites
    X. Y. Jiang
    Q. K. Zhang
    S. P. Deng
    B. Zhou
    B. Wang
    Z. Q. Chen
    N. Qi
    X. F. Tang
    Journal of Electronic Materials, 2020, 49 : 2371 - 2380
  • [49] Enhanced Thermoelectric Performance of Polythiophene/Carbon Nanotube-Based Composites
    Jiang, X. Y.
    Zhang, Q. K.
    Deng, S. P.
    Zhou, B.
    Wang, B.
    Chen, Z. Q.
    Qi, N.
    Tang, X. F.
    JOURNAL OF ELECTRONIC MATERIALS, 2020, 49 (04) : 2371 - 2380
  • [50] Modeling Radio-Frequency Devices Based on Deep Learning Technique
    Guan, Zhimin
    Zhao, Peng
    Wang, Xianbing
    Wang, Gaofeng
    ELECTRONICS, 2021, 10 (14)