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Reproducible Measurement of Single-Molecule Conductivity
Abstract
A reliable method has been developed for making through-bond electrical contacts to molecules. Current-voltage curves are quantized as integer multiples of one fundamental curve, an observation used to identify single-molecule contacts. The resistance of a single octanedithiol molecule was 900 ± 50 megohms, based on measurements on more than 1000 single molecules. In contrast, nonbonded contacts to octanethiol monolayers were at least four orders of magnitude more resistive, less reproducible, and had a different voltage dependence, demonstrating that the measurement of intrinsic molecular properties requires chemically bonded contacts.
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Citations
Cited by
Molecular Electronic Junctions
McCreery, R. L. (2004) · Chemistry of Materials · doi:10.1021/cm049517q · Cited by 555
Naber, W. J. M., Faez, S., & Wiel, W. G. V. D. (2007) · Journal of Physics D: Applied Physics · doi:10.1088/0022-3727/40/12/r01 · Cited by 459
Metzger, R. M. (2015) · Chemical Reviews · doi:10.1021/cr500459d · Cited by 380
Charge Transfer Enhancement in the SERS of a Single Molecule
Park, W.-H., & Kim, Z. H. (2010) · Nano Letters · doi:10.1021/nl102026p · Cited by 342
Nonlinear circuit foundations for nanodevices, part I: the four-element torus
Chua, L. O. (2003) · Proceedings of the IEEE · doi:10.1109/jproc.2003.818319 · Cited by 263
Metadata
- Authors
- Cui, X. D., Primak, A., Zarate, X., Tomfohr, J., Sankey, O. F., Moore, A. L., Moore, T. A., Gust, D., Harris, G., & Lindsay, S. M.
- Venue
- Science
- Published
- 2001-10-19
- Volume
- 294
- Issue
- 5542
- Pages
- 571-574
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W2016085565
- Cited by
- 1,293
- References
- 0
- FWCI
- 102.04
- Type
- journal article
- Language
- en
- Open access
- closed
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- Cui, X. D., Primak, A., Zarate, X., Tomfohr, J., Sankey, O. F., Moore, A. L., Moore, T. A., Gust, D., Harris, G., & Lindsay, S. M. (2001). Reproducible Measurement of Single-Molecule Conductivity. Science. https://doi.org/10.1126/science.1064354
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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
