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Conducting polymers in microelectronics
Abstract
Conjugated polymers in the nondoped and doped conducting state have an array of potential applications in the microelectronics industry. Conducting polymers are effective discharge layers as well as conducting resists in electron beam lithography, find applications in metallization (electrolytic and electroless) of plated through-holes for printed circuit board technology, provide excellent electrostatic discharge protection for packages and housings of electronic equipment, provide excellent corrosion protection for metals, and may have applications in electromagnetic interference shielding. This paper reviews some of these applications and briefly describes possible future applications of conducting polymers for use as interconnections or for electronic devices.
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Citations
Cited by
Wang, S., Xie, Y., Niu, S., Lin, L., Liu, C., Zhou, Y. S., & Wang, Z. L. (2014) · Advanced Materials · doi:10.1002/adma.201402491 · Cited by 679
Maynor, B. W., Filocamo, S. F., Grinstaff, M. W., & Liu, J. (2002) · Journal of the American Chemical Society · doi:10.1021/ja017365j · Cited by 320
Hendry, E., Koeberg, M., Schins, J. M., Nienhuys, H. K., Sundström, V., Siebbeles, L. D. A., & Bonn, M. (2005) · Physical Review B · doi:10.1103/physrevb.71.125201 · Cited by 206
Metadata
- Authors
- Angelopoulos, M.
- Venue
- IBM Journal of Research and Development
- Publisher
- IBM
- Published
- 2001-01
- Volume
- 45
- Issue
- 1
- Pages
- 57-75
- ISSN
- 0018-8646 (ISSN-L)
- OpenAlex
- W2004667301
- Cited by
- 287
- References
- 0
- FWCI
- 11.56
- Type
- journal article
- Language
- en
- Open access
- closed
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- Angelopoulos, M. (2001). Conducting polymers in microelectronics. IBM Journal of Research and Development. https://doi.org/10.1147/rd.451.0057
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.
