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Enhanced Electrical Conductivity of Silver Nanoparticles for High Frequency Electronic Applications
Abstract
An enhancement in the electrical performance of low temperature screen-printed silver nanoparticles (nAg) has been measured at frequencies up to 220 GHz. We show that for frequencies above 80 GHz the electrical losses in coplanar waveguide structures fabricated using nAg at 350 °C are lower than those found in conventional thick film Ag conductors consisting of micrometer-sized grains and fabricated at 850 °C. The improved electrical performance is attributed to the better packing of the silver nanoparticles resulting in lower surface roughness by a factor of 3. We discuss how the use of silver nanoparticles offers new routes to high frequency applications on temperature sensitive conformal substrates and in sub-THz metamaterials.
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Cited by
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Joining of Silver Nanomaterials at Low Temperatures: Processes, Properties, and Applications
Peng, P., Hu, A., Gerlich, A. P., Zou, G., Liu, L., & Zhou, Y. N. (2015) · ACS Applied Materials & Interfaces · doi:10.1021/acsami.5b02134 · Cited by 364
Metadata
- Authors
- Alshehri, A. H., Jakubowska, M., Młożniak, A., Horaczek, M., Rudka, D., Free, C., & Carey, J. D.
- Venue
- ACS Applied Materials & Interfaces
- Publisher
- American Chemical Society (ACS)
- Published
- 2012-11-26
- Volume
- 4
- Issue
- 12
- Pages
- 7007-7010
- ISSN
- 1944-8244 (ISSN-L)
- 1944-8252
- OpenAlex
- W1976916591
- Cited by
- 194
- References
- 0
- FWCI
- 3.26
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Enhanced Electrical Conductivity of Silver Nanoparticles for High Frequency Electronic Applications. https://app.cochat.ai/papers/10.1021/am3022569
- The paper
- Alshehri, A. H., Jakubowska, M., Młożniak, A., Horaczek, M., Rudka, D., Free, C., & Carey, J. D. (2012). Enhanced Electrical Conductivity of Silver Nanoparticles for High Frequency Electronic Applications. ACS Applied Materials & Interfaces. https://doi.org/10.1021/am3022569
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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