Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 1,312

The DOI matches its Crossref record; 19 of the 19 references it cites were found in a registry or an index.

A tunable carbon nanotube electromechanical oscillator

Open access
Sazonova, Vera, Yaish, Yuval, Üstünel, Hande, Roundy, David, Arias, Tomás A., McEuen, Paul L.·2004·Nature

Abstract

Nanoelectromechanical systems (NEMS) hold promise for a number of scientific and technological applications. In particular, NEMS oscillators have been proposed for use in ultrasensitive mass detection, radio-frequency signal processing, and as a model system for exploring quantum phenomena in macroscopic systems. Perhaps the ultimate material for these applications is a carbon nanotube. They are the stiffest material known, have low density, ultrasmall cross-sections and can be defect-free. Equally important, a nanotube can act as a transistor and thus may be able to sense its own motion. In spite of this great promise, a room-temperature, self-detecting nanotube oscillator has not been realized, although some progress has been made. Here we report the electrical actuation and detection of the guitar-string-like oscillation modes of doubly clamped nanotube oscillators. We show that the resonance frequency can be widely tuned and that the devices can be used to transduce very small forces.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1038/nature02905

Cites

19 of 19 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 19 references

Cited by

See all 1,312

Metadata

Authors
Sazonova, V., Yaish, Y., Üstünel, H., Roundy, D., Arias, T. A., & McEuen, P. L.
Venue
Nature
Published
2004-09
Volume
431
Issue
7006
Pages
284-287
ISSN
  • 0028-0836 (ISSN-L)
  • 1476-4687
OpenAlex
W2010953919
Cited by
1,312
References
19
FWCI
59.18
Type
journal article
Language
en
Open access
green

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: A tunable carbon nanotube electromechanical oscillator. https://app.cochat.ai/papers/10.1038/nature02905
The paper
Sazonova, V., Yaish, Y., Üstünel, H., Roundy, D., Arias, T. A., & McEuen, P. L. (2004). A tunable carbon nanotube electromechanical oscillator. Nature. https://doi.org/10.1038/nature02905

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.