Electrothermal Analysis of Carbon Nanotubes Power Delivery Networks for Nanoscale Integrated Circuits

Alessandro Magnani 1 Massimiliano De Magistris 1 Aida Todri-Sanial 2 Antonio Maffucci 3
1 Università degli studi di Napoli Federico II
2 SysMIC - Conception et Test de Systèmes MICroélectroniques
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier
3 UNICAS - Università degli studi di Cassino e del Lazio Meridionale
Abstract : This paper presents a circuit-based self-consistent electrothermal model of Power Delivery Networks (PDNs) fabricated with carbon nanotubes, for nanoscale integrated circuits. It couples the electrical submodel with an equivalent circuit submodel of the thermal problem, and allows characterizing the PDNs in terms of both voltage drop and temperature rise. The temperature dependence of the PDNs electrical parameters is taken into account through physically meaningful models of the mean free path and the number of conducting channels in carbon nanotubes. The model is used to compare the performance of conventional copper PDNs with those of PDNs realized with bundles of carbon nanotubes in different configurations (single-wall, multiwall, and mixed). The adopted values of thermal and electrical parameters are those typically obtainable with the current fabrication processes, for technology nodes of 65 and 22 nm and different core power consumption.
Keywords : Carbon nanotube electrothermal analysis on- chip power distribution networks
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Journal articles
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https://hal-lirmm.ccsd.cnrs.fr/lirmm-01445865
Contributor : Caroline Lebrun <>
Submitted on : Wednesday, January 25, 2017 - 1:55:31 PM
Last modification on : Wednesday, December 11, 2019 - 1:32:02 AM

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Alessandro Magnani, Massimiliano De Magistris, Aida Todri-Sanial, Antonio Maffucci. Electrothermal Analysis of Carbon Nanotubes Power Delivery Networks for Nanoscale Integrated Circuits. IEEE Transactions on Nanotechnology, Institute of Electrical and Electronics Engineers, 2016, 15 (3), pp.380-388. ⟨10.1109/TNANO.2016.2535390⟩. ⟨lirmm-01445865⟩

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