The DOI matches its Crossref record.
A New Method for Measuring Dielectric Constant and Loss in the Range of Centimeter Waves
Abstract
In 1940, dielectric measurements in the centimeter range were considered as difficult and not very accurate. The authors, therefore, developed a ``hollow-pipe'' method which overcame these objections and required only a weak oscillator and small amounts of the dielectric material. The theory and its practical applications, as perfected by March 1941, are presented in this paper.
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Citations
Cited by
Electrical Properties of Tissue and Cell Suspensions
Schwan, H. P. (1957) · Advances in Biological and Medical Physics · doi:10.1016/b978-1-4832-3111-2.50008-0 · Cited by 1,620
Schepps, J. L., & Foster, K. R. (1980) · Physics in Medicine & Biology · doi:10.1088/0031-9155/25/6/012 · Cited by 306
The relationship of dielectric response and water activity in food
Renshaw, R. C., Dimitrakis, G. A., Robinson, J. P., & Kingman, S. W. (2019) · Journal of Food Engineering · doi:10.1016/j.jfoodeng.2018.08.037 · Cited by 35
Metadata
- Authors
- Roberts, S., & Von Hippel, A.
- Venue
- Journal of Applied Physics
- Publisher
- AIP Publishing
- Published
- 1946-07-01
- Volume
- 17
- Issue
- 7
- Pages
- 610-616
- ISSN
- 0021-8979 (ISSN-L)
- 1089-7550
- OpenAlex
- W1970603229
- Cited by
- 472
- References
- 0
- FWCI
- 21.52
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: A New Method for Measuring Dielectric Constant and Loss in the Range of Centimeter Waves. https://app.cochat.ai/papers/10.1063/1.1707760
- The paper
- Roberts, S., & Von Hippel, A. (1946). A New Method for Measuring Dielectric Constant and Loss in the Range of Centimeter Waves. Journal of Applied Physics. https://doi.org/10.1063/1.1707760
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.
