Modeling nanoelectronic CNN cells: CMOS, SETs and QCAs

Costa Gerousis, Stephen Goodnick, Xiaohui Wang, Wolfgang Porod, Arpad I. Csurgay, Geza Toth, Craig S. Lent

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Citations (Scopus)

Abstract

We investigate the use of nanoelectronic structures in cellular nonlinear network (CNN) architectures, for future high-density and low-power CMOS-nanodevice hybrid circuits. We present simulation results for Single Electron Tunneling (SET) transistors configured as a voltage-to-current transducer for CNN cells. We also present an example of quantum-dot cellular arrays which may be used to realize binary CNN algorithms. Nanoelectronics offers the promise of ultra-low power and ultra-high integration density. Several device structures have been proposed and realized experimentally, yet the main challenge remains the organization of these devices in new circuit architectures. For an introduction into this problem area, see the review paper. Here, we investigate the use of nanodevices in cellular nonlinear network (CNN) architectures. Specifically, we focus on nanostructures based on single-electron tunneling (SET) devices and Coulomb-coupled quantum-dot arrays, the so-called Quantum-Dot Cellular Automata (QCA). CNN-type architectures for nanostructures are motivated by the following considerations: On the one hand, locally-interconnected architectures appear to be natural for nanodevices where some of the connectivity may be provided by direct physical device-device interactions. On the other hand, CNN arrays with sizes on the order of 1000-by-1000 (which are desirable for applications such as image processing) will require the use of nanostructures since such integration densities are beyond what can be achieved by scaling conventional CMOS devices.

Original languageEnglish (US)
Title of host publicationProceedings - IEEE International Symposium on Circuits and Systems
PublisherIEEE
Volume1
StatePublished - 2000
EventProceedings of the IEEE 2000 Internaitonal Symposium on Circuits and Systems - Geneva, Switz
Duration: May 28 2000May 31 2000

Other

OtherProceedings of the IEEE 2000 Internaitonal Symposium on Circuits and Systems
CityGeneva, Switz
Period5/28/005/31/00

Fingerprint

Nonlinear networks
Nanoelectronics
Semiconductor quantum dots
Nanostructures
Electron tunneling
Network architecture
Cellular arrays
Networks (circuits)
Cellular automata
Transducers
Transistors
Image processing
Electric potential

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Electronic, Optical and Magnetic Materials

Cite this

Gerousis, C., Goodnick, S., Wang, X., Porod, W., Csurgay, A. I., Toth, G., & Lent, C. S. (2000). Modeling nanoelectronic CNN cells: CMOS, SETs and QCAs. In Proceedings - IEEE International Symposium on Circuits and Systems (Vol. 1). IEEE.

Modeling nanoelectronic CNN cells : CMOS, SETs and QCAs. / Gerousis, Costa; Goodnick, Stephen; Wang, Xiaohui; Porod, Wolfgang; Csurgay, Arpad I.; Toth, Geza; Lent, Craig S.

Proceedings - IEEE International Symposium on Circuits and Systems. Vol. 1 IEEE, 2000.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Gerousis, C, Goodnick, S, Wang, X, Porod, W, Csurgay, AI, Toth, G & Lent, CS 2000, Modeling nanoelectronic CNN cells: CMOS, SETs and QCAs. in Proceedings - IEEE International Symposium on Circuits and Systems. vol. 1, IEEE, Proceedings of the IEEE 2000 Internaitonal Symposium on Circuits and Systems, Geneva, Switz, 5/28/00.
Gerousis C, Goodnick S, Wang X, Porod W, Csurgay AI, Toth G et al. Modeling nanoelectronic CNN cells: CMOS, SETs and QCAs. In Proceedings - IEEE International Symposium on Circuits and Systems. Vol. 1. IEEE. 2000
Gerousis, Costa ; Goodnick, Stephen ; Wang, Xiaohui ; Porod, Wolfgang ; Csurgay, Arpad I. ; Toth, Geza ; Lent, Craig S. / Modeling nanoelectronic CNN cells : CMOS, SETs and QCAs. Proceedings - IEEE International Symposium on Circuits and Systems. Vol. 1 IEEE, 2000.
@inproceedings{d6fc641470994a3f9f9a22cc90df88ed,
title = "Modeling nanoelectronic CNN cells: CMOS, SETs and QCAs",
abstract = "We investigate the use of nanoelectronic structures in cellular nonlinear network (CNN) architectures, for future high-density and low-power CMOS-nanodevice hybrid circuits. We present simulation results for Single Electron Tunneling (SET) transistors configured as a voltage-to-current transducer for CNN cells. We also present an example of quantum-dot cellular arrays which may be used to realize binary CNN algorithms. Nanoelectronics offers the promise of ultra-low power and ultra-high integration density. Several device structures have been proposed and realized experimentally, yet the main challenge remains the organization of these devices in new circuit architectures. For an introduction into this problem area, see the review paper. Here, we investigate the use of nanodevices in cellular nonlinear network (CNN) architectures. Specifically, we focus on nanostructures based on single-electron tunneling (SET) devices and Coulomb-coupled quantum-dot arrays, the so-called Quantum-Dot Cellular Automata (QCA). CNN-type architectures for nanostructures are motivated by the following considerations: On the one hand, locally-interconnected architectures appear to be natural for nanodevices where some of the connectivity may be provided by direct physical device-device interactions. On the other hand, CNN arrays with sizes on the order of 1000-by-1000 (which are desirable for applications such as image processing) will require the use of nanostructures since such integration densities are beyond what can be achieved by scaling conventional CMOS devices.",
author = "Costa Gerousis and Stephen Goodnick and Xiaohui Wang and Wolfgang Porod and Csurgay, {Arpad I.} and Geza Toth and Lent, {Craig S.}",
year = "2000",
language = "English (US)",
volume = "1",
booktitle = "Proceedings - IEEE International Symposium on Circuits and Systems",
publisher = "IEEE",

}

TY - GEN

T1 - Modeling nanoelectronic CNN cells

T2 - CMOS, SETs and QCAs

AU - Gerousis, Costa

AU - Goodnick, Stephen

AU - Wang, Xiaohui

AU - Porod, Wolfgang

AU - Csurgay, Arpad I.

AU - Toth, Geza

AU - Lent, Craig S.

PY - 2000

Y1 - 2000

N2 - We investigate the use of nanoelectronic structures in cellular nonlinear network (CNN) architectures, for future high-density and low-power CMOS-nanodevice hybrid circuits. We present simulation results for Single Electron Tunneling (SET) transistors configured as a voltage-to-current transducer for CNN cells. We also present an example of quantum-dot cellular arrays which may be used to realize binary CNN algorithms. Nanoelectronics offers the promise of ultra-low power and ultra-high integration density. Several device structures have been proposed and realized experimentally, yet the main challenge remains the organization of these devices in new circuit architectures. For an introduction into this problem area, see the review paper. Here, we investigate the use of nanodevices in cellular nonlinear network (CNN) architectures. Specifically, we focus on nanostructures based on single-electron tunneling (SET) devices and Coulomb-coupled quantum-dot arrays, the so-called Quantum-Dot Cellular Automata (QCA). CNN-type architectures for nanostructures are motivated by the following considerations: On the one hand, locally-interconnected architectures appear to be natural for nanodevices where some of the connectivity may be provided by direct physical device-device interactions. On the other hand, CNN arrays with sizes on the order of 1000-by-1000 (which are desirable for applications such as image processing) will require the use of nanostructures since such integration densities are beyond what can be achieved by scaling conventional CMOS devices.

AB - We investigate the use of nanoelectronic structures in cellular nonlinear network (CNN) architectures, for future high-density and low-power CMOS-nanodevice hybrid circuits. We present simulation results for Single Electron Tunneling (SET) transistors configured as a voltage-to-current transducer for CNN cells. We also present an example of quantum-dot cellular arrays which may be used to realize binary CNN algorithms. Nanoelectronics offers the promise of ultra-low power and ultra-high integration density. Several device structures have been proposed and realized experimentally, yet the main challenge remains the organization of these devices in new circuit architectures. For an introduction into this problem area, see the review paper. Here, we investigate the use of nanodevices in cellular nonlinear network (CNN) architectures. Specifically, we focus on nanostructures based on single-electron tunneling (SET) devices and Coulomb-coupled quantum-dot arrays, the so-called Quantum-Dot Cellular Automata (QCA). CNN-type architectures for nanostructures are motivated by the following considerations: On the one hand, locally-interconnected architectures appear to be natural for nanodevices where some of the connectivity may be provided by direct physical device-device interactions. On the other hand, CNN arrays with sizes on the order of 1000-by-1000 (which are desirable for applications such as image processing) will require the use of nanostructures since such integration densities are beyond what can be achieved by scaling conventional CMOS devices.

UR - http://www.scopus.com/inward/record.url?scp=0033715998&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0033715998&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:0033715998

VL - 1

BT - Proceedings - IEEE International Symposium on Circuits and Systems

PB - IEEE

ER -