CMAS Lab

Indian Institute of Technology Roorkee

Crosstalk Analysis in MWCNTs using a Closed-Form Matrix Rational Approximation Technique


Journal article


Amit Kumar, Brajesh Kumar Kaushik, Sourajeet Roy, R. Achar
2019 IEEE 28th Conference on Electrical Performance of Electronic Packaging and Systems (EPEPS), 2019

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APA   Click to copy
Kumar, A., Kaushik, B. K., Roy, S., & Achar, R. (2019). Crosstalk Analysis in MWCNTs using a Closed-Form Matrix Rational Approximation Technique. 2019 IEEE 28th Conference on Electrical Performance of Electronic Packaging and Systems (EPEPS).


Chicago/Turabian   Click to copy
Kumar, Amit, Brajesh Kumar Kaushik, Sourajeet Roy, and R. Achar. “Crosstalk Analysis in MWCNTs Using a Closed-Form Matrix Rational Approximation Technique.” 2019 IEEE 28th Conference on Electrical Performance of Electronic Packaging and Systems (EPEPS) (2019).


MLA   Click to copy
Kumar, Amit, et al. “Crosstalk Analysis in MWCNTs Using a Closed-Form Matrix Rational Approximation Technique.” 2019 IEEE 28th Conference on Electrical Performance of Electronic Packaging and Systems (EPEPS), 2019.


BibTeX   Click to copy

@article{amit2019a,
  title = {Crosstalk Analysis in MWCNTs using a Closed-Form Matrix Rational Approximation Technique},
  year = {2019},
  journal = {2019 IEEE 28th Conference on Electrical Performance of Electronic Packaging and Systems (EPEPS)},
  author = {Kumar, Amit and Kaushik, Brajesh Kumar and Roy, Sourajeet and Achar, R.}
}

Abstract

This paper presents a matrix rational approximation (MRA) based method for crosstalk modeling in multiwall carbon nanotube (MWCNT) on-chip interconnect networks. The main feature of the proposed model is that it approximates the transfer function matrix of the MWCNT network in the frequency domain as a rational function derived in a closed-form manner from predetermined Padé coefficients and per-unit-length interconnect parameters. This rational function model can be directly converted into time-domain, free of any numerical integration techniques, and is consequently more efficient than SPICE simulations.


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