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Molecular Vibration Spectra by Electron Tunneling
Abstract
The conductance of metal-metal oxide-metal tunneling junctions has been observed to increase at certain characteristic bias voltages. These voltages are identified with vibrational frequencies of molecules contained in the barrier.
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Citations
Cited by
Molecular Vibration Spectra by Inelastic Electron Tunneling
Lambe, J., & Jaklevic, R. C. (1968) · Physical Review · doi:10.1103/physrev.165.821 · Cited by 585
Self-citationVibrations, quanta and biology
Huelga, S. F., & Plenio, M. B. (2013) · Contemporary Physics · doi:10.1080/00405000.2013.829687 · Cited by 568
Molecular electronics: Some views on transport junctions and beyond
Joachim, C., & Ratner, M. A. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0500075102 · Cited by 522
Quantum mechanical tunnelling in biological systems
Devault, D. (1980) · Quarterly Reviews of Biophysics · doi:10.1017/s003358350000175x · Cited by 406
A Spectroscopic Mechanism for Primary Olfactory Reception
Turin, L. (1996) · Chemical Senses · doi:10.1093/chemse/21.6.773 · Cited by 388
Metadata
- Authors
- Jaklevic, R. C., & Lambe, J.
- Venue
- Physical Review Letters
- Publisher
- American Physical Society (APS)
- Published
- 1966-11-28
- Volume
- 17
- Issue
- 22
- Pages
- 1139-1140
- ISSN
- 0031-9007 (ISSN-L)
- OpenAlex
- W1970021607
- Cited by
- 655
- References
- 0
- FWCI
- 24.86
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Molecular Vibration Spectra by Electron Tunneling. https://app.cochat.ai/papers/10.1103/physrevlett.17.1139
- The paper
- Jaklevic, R. C., & Lambe, J. (1966). Molecular Vibration Spectra by Electron Tunneling. Physical Review Letters. https://doi.org/10.1103/physrevlett.17.1139
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.