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Molecular Electronics. Synthesis and Testing of Components
Abstract
Molecular electronics involves the use of single or small packets of molecules as the fundamental units for computing. While initial targets are the substitution of solid-state wires and devices with molecules, long-range goals involve the development of novel addressable electronic properties from molecules. A comparison of traditional solid-state devices to molecular systems is described. Issues of cost and ease of manufacture are outlined, along with the syntheses and testing of molecular wires and devices.
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Citations
Cited by
Organic Thin Film Transistors for Large Area Electronics
Dimitrakopoulos, C. D., & Malenfant, P. R. L. (2002) · Advanced Materials · doi:10.1002/1521-4095(20020116)14:2<99::aid-adma99>3.0.co;2-9 · Cited by 4,878
Metzger, R. M. (2015) · Chemical Reviews · doi:10.1021/cr500459d · Cited by 380
Li, T., Hu, W., & Zhu, D. (2010) · Advanced Materials · doi:10.1002/adma.200900864 · Cited by 269
CrossNets: High‐Performance Neuromorphic Architectures for CMOL Circuits
LIKHAREV, K., MAYR, A., MUCKRA, I., & TÜREL, Ö. (2003) · Annals of the New York Academy of Sciences · doi:10.1196/annals.1292.010 · Cited by 121
Magnetoresistance of nanoscale molecular devices based on Aharonov–Bohm interferometry
Hod, O., Baer, R., & Rabani, E. (2008) · Journal of Physics: Condensed Matter · doi:10.1088/0953-8984/20/38/383201 · Cited by 40
Metadata
- Authors
- Tour, J. M.
- Venue
- Accounts of Chemical Research
- Publisher
- American Chemical Society (ACS)
- Published
- 2000-08-26
- Volume
- 33
- Issue
- 11
- Pages
- 791-804
- ISSN
- 0001-4842 (ISSN-L)
- 1520-4898
- OpenAlex
- W1971944253
- Cited by
- 1,272
- References
- 0
- FWCI
- 66.26
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
