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Title: Nanosystems, Edge Computing, and the Next Generation Computing Systems

Abstract

It is widely recognized that nanoscience and nanotechnology and their subfields, such as nanophotonics, nanoelectronics, and nanomechanics, have had a tremendous impact on recent advances in sensing, imaging, and communication, with notable developments, including novel transistors and processor architectures. For example, in addition to being supremely fast, optical and photonic components and devices are capable of operating across multiple orders of magnitude length, power, and spectral scales, encompassing the range from macroscopic device sizes and kW energies to atomic domains and single-photon energies. The extreme versatility of the associated electromagnetic phenomena and applications, both classical and quantum, are therefore highly appealing to the rapidly evolving computing and communication realms, where innovations in both hardware and software are necessary to meet the growing speed and memory requirements. Development of all-optical components, photonic chips, interconnects, and processors will bring the speed of light, photon coherence properties, field confinement and enhancement, information-carrying capacity, and the broad spectrum of light into the high-performance computing, the internet of things, and industries related to cloud, fog, and recently edge computing. Conversely, owing to their extraordinary properties, 0D, 1D, and 2D materials are being explored as a physical basis for the next generation of logic components andmore » processors. Carbon nanotubes, for example, have been recently used to create a new processor beyond proof of principle. These developments, in conjunction with neuromorphic and quantum computing, are envisioned to maintain the growth of computing power beyond the projected plateau for silicon technology. We survey the qualitative figures of merit of technologies of current interest for the next generation computing with an emphasis on edge computing.« less

Authors:
ORCiD logo [1]; ORCiD logo [1]
  1. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Publication Date:
Research Org.:
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1564191
Grant/Contract Number:  
AC05-00OR22725
Resource Type:
Accepted Manuscript
Journal Name:
Sensors
Additional Journal Information:
Journal Volume: 19; Journal Issue: 18; Journal ID: ISSN 1424-8220
Publisher:
MDPI AG
Country of Publication:
United States
Language:
English
Subject:
97 MATHEMATICS AND COMPUTING; edge computing; the internet-of-things; carbon nanotubes; processors; nanoscience; quantum computing; neuromorphic computing; plasmonics; photonics; information technology

Citation Formats

Passian, Ali, and Imam, Neena. Nanosystems, Edge Computing, and the Next Generation Computing Systems. United States: N. p., 2019. Web. doi:10.3390/s19184048.
Passian, Ali, & Imam, Neena. Nanosystems, Edge Computing, and the Next Generation Computing Systems. United States. doi:10.3390/s19184048.
Passian, Ali, and Imam, Neena. Thu . "Nanosystems, Edge Computing, and the Next Generation Computing Systems". United States. doi:10.3390/s19184048. https://www.osti.gov/servlets/purl/1564191.
@article{osti_1564191,
title = {Nanosystems, Edge Computing, and the Next Generation Computing Systems},
author = {Passian, Ali and Imam, Neena},
abstractNote = {It is widely recognized that nanoscience and nanotechnology and their subfields, such as nanophotonics, nanoelectronics, and nanomechanics, have had a tremendous impact on recent advances in sensing, imaging, and communication, with notable developments, including novel transistors and processor architectures. For example, in addition to being supremely fast, optical and photonic components and devices are capable of operating across multiple orders of magnitude length, power, and spectral scales, encompassing the range from macroscopic device sizes and kW energies to atomic domains and single-photon energies. The extreme versatility of the associated electromagnetic phenomena and applications, both classical and quantum, are therefore highly appealing to the rapidly evolving computing and communication realms, where innovations in both hardware and software are necessary to meet the growing speed and memory requirements. Development of all-optical components, photonic chips, interconnects, and processors will bring the speed of light, photon coherence properties, field confinement and enhancement, information-carrying capacity, and the broad spectrum of light into the high-performance computing, the internet of things, and industries related to cloud, fog, and recently edge computing. Conversely, owing to their extraordinary properties, 0D, 1D, and 2D materials are being explored as a physical basis for the next generation of logic components and processors. Carbon nanotubes, for example, have been recently used to create a new processor beyond proof of principle. These developments, in conjunction with neuromorphic and quantum computing, are envisioned to maintain the growth of computing power beyond the projected plateau for silicon technology. We survey the qualitative figures of merit of technologies of current interest for the next generation computing with an emphasis on edge computing.},
doi = {10.3390/s19184048},
journal = {Sensors},
number = 18,
volume = 19,
place = {United States},
year = {2019},
month = {9}
}

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Works referenced in this record:

Nanotechnology: High-speed integrated nanowire circuits
journal, April 2005

  • Friedman, Robin S.; McAlpine, Michael C.; Ricketts, David S.
  • Nature, Vol. 434, Issue 7037, Article No. 1085
  • DOI: 10.1038/4341085a

Logic Circuits with Carbon Nanotube Transistors
journal, October 2001

  • Bachtold, Adrian; Hadley, Peter; Nakanishi, Takeshi
  • Science, Vol. 294, Issue 5545, p. 1317-1320
  • DOI: 10.1126/science.1065824

An Integrated Logic Circuit Assembled on a Single Carbon Nanotube
journal, March 2006

  • Chen, Zhihong; Appenzeller, Joerg; Lin, Yu-Ming
  • Science, Vol. 311, Issue 5768, p. 1735-1735
  • DOI: 10.1126/science.1122797

Self-Sorted, Aligned Nanotube Networks for Thin-Film Transistors
journal, July 2008

  • LeMieux, Melburne C.; Roberts, Mark; Barman, Soumendra
  • Science, Vol. 321, Issue 5885, p. 101-104
  • DOI: 10.1126/science.1156588

Ballistic carbon nanotube field-effect transistors
journal, August 2003

  • Javey, Ali; Guo, Jing; Wang, Qian
  • Nature, Vol. 424, Issue 6949, p. 654-657
  • DOI: 10.1038/nature01797

A two-qubit logic gate in silicon
journal, October 2015

  • Veldhorst, M.; Yang, C. H.; Hwang, J. C. C.
  • Nature, Vol. 526, Issue 7573, p. 410-414
  • DOI: 10.1038/nature15263

Large-scale complementary integrated circuits based on organic transistors
journal, February 2000

  • Crone, B.; Dodabalapur, A.; Lin, Y. -Y.
  • Nature, Vol. 403, Issue 6769, p. 521-523
  • DOI: 10.1038/35000530

Using nanoscale thermocapillary flows to create arrays of purely semiconducting single-walled carbon nanotubes
journal, April 2013

  • Jin, Sung Hun; Dunham, Simon N.; Song, Jizhou
  • Nature Nanotechnology, Vol. 8, Issue 5, p. 347-355
  • DOI: 10.1038/nnano.2013.56

Medium-scale carbon nanotube thin-film integrated circuits on flexible plastic substrates
journal, July 2008

  • Cao, Qing; Kim, Hoon-sik; Pimparkar, Ninad
  • Nature, Vol. 454, Issue 7203, p. 495-500
  • DOI: 10.1038/nature07110