Architecture and analysis of a self-assembled 3D array of carbon nanotubes and molecular memories

H. Finkelstein, P. M. Asbeck, S. Esener

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

2 Scopus citations

Abstract

Carbon nanotubes and molecular memories have emerged as potential building blocks for functional nano-devices. We analyze the feasibility of integrating single-walled carbon nanotubes and molecular memories into a three-dimensional crossbar array using DNA-directed self-assembly. We describe a process flow for fabricating such arrays and derive design constraints for achieving electromechanical switching with low leakage currents. Finally, we develop a simulation model to incorporate the various device elements.

Original languageEnglish (US)
Title of host publication2003 3rd IEEE Conference on Nanotechnology, IEEE-NANO 2003 - Proceedings
PublisherIEEE Computer Society
Pages441-444
Number of pages4
ISBN (Electronic)0780379764
DOIs
StatePublished - Jan 1 2003
Event2003 3rd IEEE Conference on Nanotechnology, IEEE-NANO 2003 - San Francisco, United States
Duration: Aug 12 2003Aug 14 2003

Publication series

NameProceedings of the IEEE Conference on Nanotechnology
Volume1
ISSN (Print)1944-9399
ISSN (Electronic)1944-9380

Other

Other2003 3rd IEEE Conference on Nanotechnology, IEEE-NANO 2003
CountryUnited States
CitySan Francisco
Period8/12/038/14/03

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Keywords

  • Carbon nanotubes
  • Conducting materials
  • DNA
  • Fabrication
  • Large scale integration
  • Nanowires
  • Organic materials
  • Robustness
  • Self-assembly
  • Temperature

ASJC Scopus subject areas

  • Bioengineering
  • Electrical and Electronic Engineering
  • Materials Chemistry
  • Condensed Matter Physics

Cite this

Finkelstein, H., Asbeck, P. M., & Esener, S. (2003). Architecture and analysis of a self-assembled 3D array of carbon nanotubes and molecular memories. In 2003 3rd IEEE Conference on Nanotechnology, IEEE-NANO 2003 - Proceedings (pp. 441-444). [1231813] (Proceedings of the IEEE Conference on Nanotechnology; Vol. 1). IEEE Computer Society. https://doi.org/10.1109/NANO.2003.1231813