Inferring physical parameters from images of vibrating carbon nanotubes

Michael Treacy, A. Krishnan, P. N. Yianilos

Research output: Contribution to journalArticle

17 Citations (Scopus)

Abstract

We describe a hidden parameter inferencing algorithm for deducing the length, width, and vibration profile from images of thermally excited single-wall carbon nanotubes. With accurate estimates of these parameters, the Young's modulus can be deduced. The algorithm is sensitive to shot noise in the image, primarily because of the low nanotube image contrast. Noise causes the nanotube length and width to be overestimated, and the vibration amplitude to be underestimated. After correcting for shot noise, we infer an average value of the Young's modulus of 〈Y〉 = 1.20 ± 0.20 TPa, which is larger than the currently accepted value for graphite.

Original languageEnglish (US)
Pages (from-to)317-323
Number of pages7
JournalMicroscopy and Microanalysis
Volume6
Issue number4
StatePublished - Jul 2000
Externally publishedYes

Fingerprint

Shot noise
shot noise
Nanotubes
Carbon nanotubes
nanotubes
modulus of elasticity
Elastic moduli
carbon nanotubes
vibration
image contrast
Graphite
graphite
causes
estimates
profiles

Keywords

  • Hidden parameter inferencing
  • Nanotubes
  • Young's modulus

ASJC Scopus subject areas

  • Instrumentation

Cite this

Inferring physical parameters from images of vibrating carbon nanotubes. / Treacy, Michael; Krishnan, A.; Yianilos, P. N.

In: Microscopy and Microanalysis, Vol. 6, No. 4, 07.2000, p. 317-323.

Research output: Contribution to journalArticle

Treacy, Michael ; Krishnan, A. ; Yianilos, P. N. / Inferring physical parameters from images of vibrating carbon nanotubes. In: Microscopy and Microanalysis. 2000 ; Vol. 6, No. 4. pp. 317-323.
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