Review of multi-layer graphene nanoribbons for on-chip interconnect applications

Author(s):  
Vachan Kumar ◽  
Shaloo Rakheja ◽  
Azad Naeemi
2020 ◽  
Vol 29 (12) ◽  
pp. 2050185 ◽  
Author(s):  
Himanshu Sharma ◽  
Karmjit Singh Sandha

Graphene nanoribbons are considered potentially suitable and have exhibited excellent results in on-chip interconnects. In order to evaluate the different circuit impedance parameters of multi-layer graphene nanoribbons (MLGNRs), an electrical equivalent single conductor (ESC) along with an analytical model is proposed. On the basis of an electrical model, the impact of intercalation doping on the performance of MLGNRs at 32, 22, and 16[Formula: see text]nm technology nodes is discussed in this paper. Moreover, it is also discussed that the increase in intercalation doping increases the Fermi energy of the layers of the MLGNR, which increases its overall conductivity. The fact that the variation in the Fermi energy will have a considerable impact on the parasitic parameters of the MLGNR interconnect at three different technology nodes (32, 22, and 16[Formula: see text]nm) for variable global lengths (500–2000[Formula: see text][Formula: see text]m) is also analyzed. To estimate and compare the performance in terms of delay and power delay product (PDP) of MLGNRs, the simulation program with integrated circuit emphasis (SPICE) simulation tool is used. The results also show that the increase in the Fermi energy improves the performance of MLGNRs in terms of delay and PDP at three different technology nodes. Furthermore, a comparative analysis of all three technology nodes is performed with the copper interconnect, and it is revealed that the MLGNR interconnect is considered to be a prominent material for the next-generation on-chip very-large-scale integration interconnects.


Nanophotonics ◽  
2019 ◽  
Vol 9 (8) ◽  
pp. 2377-2385 ◽  
Author(s):  
Zhao Cheng ◽  
Xiaolong Zhu ◽  
Michael Galili ◽  
Lars Hagedorn Frandsen ◽  
Hao Hu ◽  
...  

AbstractGraphene has been widely used in silicon-based optical modulators for its ultra-broadband light absorption and ultrafast optoelectronic response. By incorporating graphene and slow-light silicon photonic crystal waveguide (PhCW), here we propose and experimentally demonstrate a unique double-layer graphene electro-absorption modulator in telecommunication applications. The modulator exhibits a modulation depth of 0.5 dB/μm with a bandwidth of 13.6 GHz, while graphene coverage length is only 1.2 μm in simulations. We also fabricated the graphene modulator on silicon platform, and the device achieved a modulation bandwidth at 12 GHz. The proposed graphene-PhCW modulator may have potentials in the applications of on-chip interconnections.


2019 ◽  
Vol 2 (5) ◽  
pp. 3665-3675 ◽  
Author(s):  
Mohammad Qorbani ◽  
Ali Esfandiar ◽  
Hamid Mehdipour ◽  
Marc Chaigneau ◽  
Azam Irajizad ◽  
...  

2018 ◽  
Vol 29 (31) ◽  
pp. 315705 ◽  
Author(s):  
Toyo Kazu Yamada ◽  
Hideto Fukuda ◽  
Taizo Fujiwara ◽  
Polin Liu ◽  
Kohji Nakamura ◽  
...  

2009 ◽  
Vol 156-158 ◽  
pp. 499-509 ◽  
Author(s):  
M.C. Lemme

This paper reviews the current status of graphene transistors as potential supplement to silicon CMOS technology. A short overview of graphene manufacturing and metrology methods is followed by an introduction of macroscopic graphene field effect transistors (FETs). The absence of an energy band gap is shown to result in severe shortcomings for logic applications. Possibilities to engineer a band gap in graphene FETs including quantum confinement in graphene Nanoribbons (GNRs) and electrically or substrate induced asymmetry in double and multi layer graphene are discussed. Novel switching mechanisms in graphene transistors are briefly introduced that could lead to future memory devices. Finally, graphene FETs are shown to be of interest for analog radio frequency applications.


2013 ◽  
Vol 4 (12) ◽  
pp. 2010-2014 ◽  
Author(s):  
Evgeniya Dontsova ◽  
Traian Dumitrică

2017 ◽  
Vol 79 (1) ◽  
pp. 10301
Author(s):  
Yiheng Yin ◽  
Yanxiong Niu ◽  
Haiyang Xie ◽  
Lingling Dai ◽  
Biyao Yang ◽  
...  

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