Optimization of VDD and VTH for low-power and high speed applications
ASP-DAC '00 Proceedings of the 2000 Asia and South Pacific Design Automation Conference
Proceedings of the 42nd annual Design Automation Conference
Automated design of misaligned-carbon-nanotube-immune circuits
Proceedings of the 44th annual Design Automation Conference
Carbon nanotube circuits in the presence of carbon nanotube density variations
Proceedings of the 46th Annual Design Automation Conference
Digital VLSI logic technology using Carbon Nanotube FETs: frequently asked questions
Proceedings of the 46th Annual Design Automation Conference
Probabilistic analysis and design of metallic-carbon-nanotube-tolerant digital logic circuits
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Imperfection-immune VLSI logic circuits using carbon nanotube field effect transistors
Proceedings of the Conference on Design, Automation and Test in Europe
Design of compact imperfection-immune CNFET layouts for standard-cell-based logic synthesis
Proceedings of the Conference on Design, Automation and Test in Europe
Influence of metallic tubes on the reliability of CNTFET SRAMs: error mechanisms and countermeasures
Proceedings of the 21st edition of the great lakes symposium on Great lakes symposium on VLSI
A physical design tool for carbon nanotube field-effect transistor circuits
ACM Journal on Emerging Technologies in Computing Systems (JETC)
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Metallic Carbon Nanotubes (CNTs) create source-drain shorts in Carbon Nanotube Field Effect Transistors (CNFETs), causing excessive leakage, degraded noise margin and delay variation. There is no known CNT growth technique that guarantees 0% metallic CNTs. Therefore, metallic CNT removal techniques are necessary. Unfortunately, such removal techniques alone are imperfect and insufficient. This paper demonstrates the necessity for co-optimization of processing techniques for metallic CNT removal together with CNFET-based circuit design. We present a probabilistic CNFET circuit model which forms the basis for such co-optimization, and use the model to derive design and processing guidelines that enable design of CNFET-based digital circuits with practical constraints on leakage, noise margin and delay variations. These guidelines are essential for designing robust metallic-carbon-nanotube-tolerant digital circuits.