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Analysis of temperature dependent power supply voltage drop in graphene nanoribbon and Cu based power interconnects

1 School of VLSI Technology, Indian Institute of Engineering Science and Technology, Shibpur, India
2 Department of Electronics and Communication Engineering, Assam University, Silchar, India

Topical Section: 2D Materials

In this paper, we propose a temperature dependent resistive model of multi layered graphene nanoribbon (MLGNR) and Cu based power interconnects. Using the proposed model, power supply voltage drop (IR-drop) analysis for 16 nm technology node is performed. The novelty in our work is that this is the first time a temperature dependent IR-Drop model for MLGNR and Cu interconnects is proposed. For a temperature range from 150 K to 450 K, the variation of resistance of MLGNR interconnect is ~2–5× times lesser than that of traditional copper based power interconnects. Our analysis shows that MLGNR based power interconnects can achieve ~1.5–3.5× reduction in IR-drop and ~1.5–3× reduction in propagation delay as compared with copper based interconnects for local, intermediate and global interconnects.
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Keywords temperature; graphene nanoribbon (GNR); interconnects; power supply voltage drop (IR-drop); mean free path (MFP); international technology roadmap for semiconductors (ITRS)

Citation: Sandip Bhattacharya, Debaprasad Das, Hafizur Rahaman. Analysis of temperature dependent power supply voltage drop in graphene nanoribbon and Cu based power interconnects. AIMS Materials Science, 2016, 3(4): 1493-1506. doi: 10.3934/matersci.2016.4.1493

References

  • 1. Yamato Y, Yoneda T, Hatayama K, et al. (2012) A fast and accurate per-cell dynamic IR-drop estimation method for at-speed scan test pattern validation. IEEE International Test Conference (ITC).
  • 2. Nithin SK, Shanmugam G, Chandrasekar S (2010) Dynamic voltage (IR) drop analysis and design closure: Issues and challenges. 11th International Symposium on Quality Electronic Design (ISQED).
  • 3. Kumar A, Anis M (2010) IR-Drop Aware Clustering Technique for Robust Power Grid in FPGAs. IEEE T VLSI Syst 19: 1181–1191.
  • 4. Vijayakumar A, Patil VC, Paladugu G, et al. (2014) On pattern generation for maximizing IR drop. 15th International Symposium on Quality Electronic Design (ISQED).
  • 5. International Technology Roadmap for Semiconductors (ITRS-2013) Reports, 2013. Available from: http://www.itrs2.net/reports.html.
  • 6. Naeemi A, Meindl JD (2008) Performance Benchmarking for Graphene Nanoribbon, Carbon Nanotube, and Cu Interconnects. International Interconnect Technology Conference (IITC).
  • 7. Naeemi A, Meindl JD (2009) Compact Physics-Based Circuit Models for Graphene Nano-ribbon Interconnects. IEEE T Electron Dev 56: 1822–1833.    
  • 8. Naeemi A, Meindl JD (2007) Conductance Modeling for Graphene Nanoribbon (GNR) Interconnects. IEEE Electr Device L 28: 428–431.    
  • 9. Xu C, Li H, Banerjee K (2009) Modeling, Analysis, and Design of Graphene Nano-Ribbon Interconnects. IEEE T Electron Dev 56: 1567–1578.    
  • 10. Nasiri SH, Moravvej-Farshi MK, Faez R (2010) Stability Analysis in Graphene Nanoribbon Interconnects. IEEE Electr Device L 31: 1458–1460.    
  • 11. Tanachutiwat S, Liu SH, Geer R, Wei W (2009) Monolithic grapheme nanoribbon electronics for interconnect performance improvement. IEEE International Symposium on Circuits and Systems.
  • 12. Das D, Rahaman H (2012) Modeling of IR-Drop induced delay fault in CNT and GNR power distribution networks. 5th International Conference on Computers and Devices for Communication (CODEC).
  • 13. Das D, Rahaman H (2015) Carbon Nanotube and Graphene Nanoribbon Interconnects, 1st Eds., New York, CRC Press, 37–78.
  • 14. Das D, Rahaman H (2012) Simultaneous switching noise and IR drop in graphene nanoribbon power distribution networks. 12th IEEE Conference on Nanotechnology (IEEE-NANO).
  • 15. Alizadeh A, Sarvari R (2015) Temperature-Dependent Comparison Between Delay of CNT and Copper Interconnects. IEEE T VLSI Syst 9: 1–1.
  • 16. Fratini S, Guinea F (2008) Substrate-limited electron dynamics in graphene. Phys Rev B Condens Matter Mater Phys 77: 195415.    
  • 17. Fuchs K (1938) Conduction electrons in thin metallic films. In Proc Cambridge Phil Soc 34: 100.    
  • 18. Sondheimer EH (1952) The mean free path of electrons in metals. Adv Phys 1: 1–42.    
  • 19. Mayadas AF, Shatzkes M (1970) Electrical resistivity model for polycrystalline films: the case of arbitrary reflection at external surfaces. Phys Rev B Condens Matter Mater Phys 1: 1382–1389.    
  • 20. Goetsch RJ, Anand VK, Pandey A, et al. (2012) Structural, thermal, magnetic, and electronic transport properties of the LaNi2(Ge1−xPx)2 system. Phys Rev B Condens Matter Mater Phys 85: 054517.    
  • 21. Blatt FJ (1968) Physics of Electronic Conduction in Solids. McGraw-Hill, New York.
  • 22. Bid A, Bora A, Raychaudhuri AK (2006) Temperature dependence of the resistance of metallic nanowires of diameter ≥15 nm: applicability of Bloch-Grüneisen theorem. Phys Rev B Condens Matter Mater Phys 3: 1–9.
  • 23. Gusakova D, Ryzhanova N, Vedyayev A, et al. (2004) Influence of s-d scattering on the electron density of states in ferromagnet/superconductor bilayer. J Magn Magn Mater 42: 873–882.
  • 24. Predictive Technology Model, 2008. Available from: http://ptm.asu.edu.

 

This article has been cited by

  • 1. Sandip Bhattacharya, Debaprasad Das, Hafizur Rahaman, Analysis of Simultaneous Switching Noise and IR-Drop in Side-Contact Multilayer Graphene Nanoribbon Power Distribution Network, Journal of Circuits, Systems and Computers, 2017, 1850001, 10.1142/S0218126618500019
  • 2. Subhajit Das, Debaprasad Das, Hafizur Rahaman, Electro-thermal RF modeling and performance analysis of graphene nanoribbon interconnects, Journal of Computational Electronics, 2018, 10.1007/s10825-018-1245-2
  • 3. Sandip Bhattacharya, Subhajit Das, Arnab Mukhopadhyay, Debaprasad Das, Hafizur Rahaman, Analysis of a temperature-dependent delay optimization model for GNR interconnects using a wire sizing method, Journal of Computational Electronics, 2018, 10.1007/s10825-018-1251-4

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Copyright Info: 2016, Sandip Bhattacharya, et al., licensee AIMS Press. This is an open access article distributed under the terms of the Creative Commons Attribution Licese (http://creativecommons.org/licenses/by/4.0)

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