The DOI matches its Crossref record; 104 of the 104 references it cites were found in a registry or an index.
Single Molecule Electronic Devices
Abstract
Single molecule electronic devices in which individual molecules are utilized as active electronic components constitute a promising approach for the ultimate miniaturization and integration of electronic devices in nanotechnology through the bottom‐up strategy. Thus, the ability to understand, control, and exploit charge transport at the level of single molecules has become a long‐standing desire of scientists and engineers from different disciplines for various potential device applications. Indeed, a study on charge transport through single molecules attached to metallic electrodes is a very challenging task, but rapid advances have been made in recent years. This review article focuses on experimental aspects of electronic devices made with single molecules, with a primary focus on the characterization and manipulation of charge transport in this regime.
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Cites
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Coulomb blockade and the Kondo effect in single-atom transistors
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Cited by
Quantum mechanical effects in plasmonic structures with subnanometre gaps
Zhu, W., Esteban, R., Borisov, A. G., Baumberg, J. J., Nordlander, P., Lezec, H. J., Aizpurua, J., & Crozier, K. B. (2016) · Nature Communications · doi:10.1038/ncomms11495 · Cited by 820
A review of emerging non-volatile memory (NVM) technologies and applications
Chen, A. (2016) · Solid-State Electronics · doi:10.1016/j.sse.2016.07.006 · Cited by 668
Metadata
- Authors
- Song, H., Reed, M. A., & Lee, T.
- Venue
- Advanced Materials
- Publisher
- Wiley
- Published
- 2011-02-02
- Volume
- 23
- Issue
- 14
- Pages
- 1583-1608
- ISSN
- 0935-9648 (ISSN-L)
- 1521-4095
- OpenAlex
- W1975002766
- Cited by
- 489
- References
- 104
- FWCI
- 42.34
- Type
- journal article
- Language
- en
- Open access
- closed
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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.