A Brief Review of Recent Studies on Performance Improvement of Graphene Nanoribbon Interconnect

An excellent and distinct metal, Copper (Cu), continued to be an extensively used interconnect material for years. But today, with shrinking technology from millimeter to nanometer scale, Cu suffered tremendous reliability effects as interconnect material such as low electrical and thermal conduction, skin effect, parasitic effects, small mean free path (MFP), stress, etc. These issues triggered to seek for an alternative material whose performance would not degrade with scaling down of integrated circuits. Researchers in late found a material, Graphene, that appreciably supersede Cu as an interconnect material in the nanoscale technology. It is found from different proposed models, simulations, and analyses that Graphene nanoribbon’s (GNR) performance did not deteriorate with the variation of length, width, temperature and also doping with other materials. Still, its performance was comparatively smoother than other interconnect materials. In this article, the performance of GNR and its types for various performance parameters like resistance, delay, crosstalk, bandwidth, power, etc., over traditional interconnect materials are reviewed and discussed.

[1]  Tulasi Naga Jyothi Kolanti,et al.  Crosstalk noise analysis in ternary logic multilayer graphene nanoribbon interconnects using shielding techniques , 2020, Int. J. Circuit Theory Appl..

[2]  C. N. Lau,et al.  Superior thermal conductivity of single-layer graphene. , 2008, Nano letters.

[3]  Subhajit Das,et al.  Analysis of a temperature-dependent delay optimization model for GNR interconnects using a wire sizing method , 2018, Journal of Computational Electronics.

[4]  Azad Naeemi,et al.  Modeling and optimization for multi-layer graphene nanoribbon conductors , 2011, 2011 IEEE International Interconnect Technology Conference.

[5]  Hafizur Rahaman,et al.  Crosstalk and Gate Oxide Reliability Analysis in Graphene Nanoribbon Interconnects , 2011, 2011 International Symposium on Electronic System Design.

[6]  R. Sharma,et al.  Analytical Time-Domain Models for Performance Optimization of Multilayer GNR Interconnects , 2014, IEEE Journal of Selected Topics in Quantum Electronics.

[8]  Rohit Sharma,et al.  Performance Analysis of AsF5-intercalated Top-Contact Multi Layer Graphene NanoRibbon Interconnects , 2015, 2015 IEEE International Symposium on Nanoelectronic and Information Systems.

[9]  R. Murali,et al.  Resistivity of Graphene Nanoribbon Interconnects , 2009, IEEE Electron Device Letters.

[10]  Wei Wang,et al.  Monolithic graphene nanoribbon electronics for interconnect performance improvement , 2009, 2009 IEEE International Symposium on Circuits and Systems.

[11]  J. Meindl,et al.  Compact Physics-Based Circuit Models for Graphene Nanoribbon Interconnects , 2009, IEEE Transactions on Electron Devices.

[12]  D. Das,et al.  Analysis of Crosstalk in Single- and Multiwall Carbon Nanotube Interconnects and Its Impact on Gate Oxide Reliability , 2011, IEEE Transactions on Nanotechnology.

[13]  C. Xu,et al.  Modeling, Analysis, and Design of Graphene Nano-Ribbon Interconnects , 2009, IEEE Transactions on Electron Devices.

[14]  Hafizur Rahaman,et al.  Stability Analysis in Top-Contact and Side-Contact Graphene Nanoribbon Interconnects , 2017 .

[15]  V. Kumar,et al.  Performance and Energy-per-Bit Modeling of Multilayer Graphene Nanoribbon Conductors , 2012, IEEE Transactions on Electron Devices.

[16]  Fen Chen,et al.  Copper interconnect technology for the 32 nm node and beyond , 2009, 2009 IEEE Custom Integrated Circuits Conference.

[17]  Debaprasad Das,et al.  Modeling and Analysis of Electro-Thermal Impact of Crosstalk Induced Gate Oxide Reliability in Pristine and Intercalation Doped MLGNR Interconnects , 2019, IEEE Transactions on Device and Materials Reliability.

[18]  Debaprasad Das,et al.  Analysis of delay fault in GNR power interconnects , 2018 .

[19]  Atul Kumar Nishad,et al.  Lithium-Intercalated Graphene Interconnects: Prospects for On-Chip Applications , 2016, IEEE Journal of the Electron Devices Society.

[20]  J. Zuo,et al.  Free folding of suspended graphene sheets by random mechanical stimulation. , 2010, Physical review letters.

[21]  P. Kim,et al.  Temperature-dependent transport in suspended graphene. , 2008, Physical review letters.

[22]  Kaustav Banerjee,et al.  Carbon Nanomaterials: The Ideal Interconnect Technology for Next-Generation ICs , 2010, IEEE Design & Test of Computers.

[23]  J. Robertson,et al.  Synthesis of carbon nanotubes and graphene for VLSI interconnects , 2013 .

[24]  Debaprasad Das,et al.  Electro-thermal RF modeling and performance analysis of graphene nanoribbon interconnects , 2018, Journal of Computational Electronics.

[25]  Baozhen Li,et al.  Reliability challenges for copper interconnects , 2004, Microelectron. Reliab..

[26]  Debaprasad Das,et al.  Thermal Stability Analysis of Graphene Nano-ribbon Interconnect and Applicability for Terahertz Frequency , 2020 .

[27]  Azad Naeemi,et al.  Evaluation of the Potential Performance of Graphene Nanoribbons as On-Chip Interconnects , 2013, Proceedings of the IEEE.

[28]  James D. Meindl,et al.  Performance Benchmarking for Graphene Nanoribbon, Carbon Nanotube, and Cu Interconnects , 2008, 2008 International Interconnect Technology Conference.

[29]  Eby G. Friedman,et al.  Crosstalk noise model for shielded interconnects in VLSI-based circuits , 2003, IEEE International [Systems-on-Chip] SOC Conference, 2003. Proceedings..

[30]  Jamil Kawa,et al.  Crosstalk-Induced Delay, Noise, and Interconnect Planarization Implications of Fill Metal in Nanoscale Process Technology , 2010, IEEE Transactions on Very Large Scale Integration (VLSI) Systems.

[31]  Sattar Mirzakuchaki,et al.  Crosstalk bandwidth and stability analysis in graphene nanoribbon interconnects , 2015, Microelectron. Reliab..

[32]  S. Iijima,et al.  Open and closed edges of graphene layers. , 2009, Physical review letters.

[33]  M. Yun,et al.  Synthesis of edge-closed graphene ribbons with enhanced conductivity. , 2010, ACS nano.