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  1. Journal on Emerging Technologies in Computing Systems (JETC)
  2. ACM Journal on Emerging Technologies in Computing Systems (JETC) : Volume 12
  3. Issue 2(Special Issue on Advances in Design of Ultra-Low Power Circuits and Systems in Emerging Technologies), August 2015
  4. Process Variability and Electrostatic Analysis of Molecular QCA
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ACM Journal on Emerging Technologies in Computing Systems (JETC) : Volume 13
ACM Journal on Emerging Technologies in Computing Systems (JETC) : Volume 12
Issue 4(Regular Papers), July 2016
Issue 3(Special Issue on Cross-Layer System Design and Regular Papers), September 2015
Issue 2(Special Issue on Advances in Design of Ultra-Low Power Circuits and Systems in Emerging Technologies), August 2015
Guest Editorial: Special Issue on Advances in Design of Ultra-Low Power Circuits and Systems in Emerging Technologies
A Survey on Low-Power Techniques with Emerging Technologies: From Devices to Systems
FinFET-Based Low-Swing Clocking
Dynamic Cache Pooling in 3D Multicore Processors
Low-Power Heterogeneous Graphene Nanoribbon-CMOS Multistate Volatile Memory Circuit
Spintronics: Emerging Ultra-Low-Power Circuits and Systems beyond MOS Technology
Programmable Spike-Timing-Dependent Plasticity Learning Circuits in Neuromorphic VLSI Architectures
Process Variability and Electrostatic Analysis of Molecular QCA
Energy-Neutral Design Framework for Supercapacitor-Based Autonomous Wireless Sensor Networks
Issue 1, July 2015
ACM Journal on Emerging Technologies in Computing Systems (JETC) : Volume 11
ACM Journal on Emerging Technologies in Computing Systems (JETC) : Volume 10
ACM Journal on Emerging Technologies in Computing Systems (JETC) : Volume 9
ACM Journal on Emerging Technologies in Computing Systems (JETC) : Volume 8
ACM Journal on Emerging Technologies in Computing Systems (JETC) : Volume 7
ACM Journal on Emerging Technologies in Computing Systems (JETC) : Volume 6
ACM Journal on Emerging Technologies in Computing Systems (JETC) : Volume 5
ACM Journal on Emerging Technologies in Computing Systems (JETC) : Volume 4
ACM Journal on Emerging Technologies in Computing Systems (JETC) : Volume 3
ACM Journal on Emerging Technologies in Computing Systems (JETC) : Volume 2
ACM Journal on Emerging Technologies in Computing Systems (JETC) : Volume 1

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Process Variability and Electrostatic Analysis of Molecular QCA

Content Provider ACM Digital Library
Author Graziano, Mariagrazia Pulimeno, Azzurra Wang, Ruiyu Wei, Xiang Roch, Massimo Ruo Piccinini, Gianluca
Copyright Year 2015
Description Author Affiliation: Politecnico di Torino, Torino (TO), Italy (Pulimeno, Azzurra; Wang, Ruiyu; Wei, Xiang; Roch, Massimo Ruo; Piccinini, Gianluca); London Centre for Nanotechnology, Torino (TO), Italy (Graziano, Mariagrazia)
Abstract Molecular quantum-dot cellular automata (mQCA) is an emerging paradigm for nanoscale computation. Its revolutionary features are the expected operating frequencies (THz), the high device densities, the noncryogenic working temperature, and, above all, the limited power densities. The main drawback of this technology is a consequence of one of its very main advantages, that is, the extremely small size of a single molecule. Device prototyping and the fabrication of a simple circuit are limited by lack of control in the technological process [Pulimeno et al. 2013a]. Moreover, high defectivity might strongly impact the correct behavior of mQCA devices. Another challenging point is the lack of a solid method for analyzing and simulating mQCA behavior and performance, either in ideal or defective conditions. Our contribution in this article is threefold: (i) We identify a methodology based on both ab-initio simulations and post-processing of data for analyzing an mQCA system adopting an electronic point of view (we baptized this method as “MoSQuiTo”); (ii) we assess the performance of an mQCA device (in this case, a bis- ferrocene molecule) working in nonideal conditions, using as a reference the information on fabrication-critical issues and on the possible defects that we are obtaining while conducting our own ongoing experiments on mQCA: (iii) we determine and assess the electrostatic energy stored in a bis-ferrocene molecule both in an oxidized and reduced form. Results presented here consist of quantitative information for an mQCA device working in manifold driving conditions and subjected to defects. This information is given in terms of: (a) output voltage; (b) safe operating area (SOA); (c) electrostatic energy; and (d) relation between SOA and energy, that is, possible energy reduction subject to reliability and functionality constraints. The whole analysis is a first fundamental step toward the study of a complex mQCA circuit. It gives important suggestions on possible improvements of the technological processes. Moreover, it starts an interesting assessment on the energy of an mQCA, one of the most promising features of this technology.
Starting Page 1
Ending Page 23
Page Count 23
File Format PDF
ISSN 15504832
e-ISSN 15504840
DOI 10.1145/2738041
Journal ACM Journal on Emerging Technologies in Computing Systems (JETC)
Volume Number 12
Issue Number 2
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2015-09-02
Publisher Place New York
Access Restriction Subscribed
Subject Keyword Quantum-dot cellular automata (QCA) Ab-initio simulations Defect modeling Energy Molecular QCA (mQCA) Safe operating area (SOA)
Content Type Text
Resource Type Article
Subject Electrical and Electronic Engineering Hardware and Architecture Nanoscience and Nanotechnology Software
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