Cell Architecture for Nanoelectronic Design
F. Martorell, A. Rubio

TL;DR
This paper proposes a cell architecture for nanoelectronic design that addresses key gate-level challenges, demonstrating improved error tolerance and signal restoration capabilities for nano-scale systems.
Contribution
It introduces a novel cell architecture for nanoelectronics and presents methods to enhance its error tolerance and signal integrity at the gate level.
Findings
Built 2 and 3-input NAND gates with error probability analysis
Demonstrated reduction of output standard deviation by over a factor of √2
Outlined a method to improve device interference tolerance
Abstract
Several nanoelectronic devices have been already proved. However, no architecture which makes use of them provides a feasible opportunity to build medium/large systems. Nanoarchitecture proposals only solve a small part of the problems needed to achieve a real design. In this paper, we propose and analyze a cell architecture that overcomes most of those at the gate level. Using the cell structure we build 2 and 3-input NAND gates showing their error probabilities. Finally, we outline a method to further improve the structure's tolerance by taking advantage of interferences among nanodevices. Using this improvement we show that it is possible to reduce the output standard deviation by a factor larger than and restitute the signal levels using nanodevices.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsSemiconductor materials and devices · Advancements in Semiconductor Devices and Circuit Design · Quantum-Dot Cellular Automata
