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Large-signal analysis of a silicon Read diode oscillator

Scharfetter, D.L., Gummel, H.K.·1969·IEEE Transactions on Electron Devices

Abstract

This paper presents theoretical calculations of the large-signal admittance and efficiency achievable in a silicon p-n-v-ns Read IMPATT diode. A simplified theory is employed to obtain a starting design. This design is then modified to achieve higher efficiency operation as specific device limitations are reached in large-signal (computer) operation. Self-consistent numerical solutions are obtained for equations describing carrier transport, carrier generation, and space-charge balance. The solutions describe the evolution in time of the diode and its associated resonant circuit. Detailed solutions are presented of the hole and electron concentrations, electric field, and terminal current and voltage at various points in time during a cycle of oscillation. Large-signal values of the diode's negative conductance, susceptance, average voltage, and power-generating efficiency are presented as a function of oscillation amplitude for a fixed average current density. For the structure studied, the largest microwave power-generating efficiency (18 percent at 9.6 GHz) has been obtained at a current density of 200 A/cm2, but efficiencies near 10 percent were obtained over a range of current density from 100 to 1000 A/cm2.

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Metadata

Authors
Scharfetter, D. L., & Gummel, H. K.
Venue
IEEE Transactions on Electron Devices
Published
1969-01
Volume
16
Issue
1
Pages
64-77
ISSN
  • 0018-9383 (ISSN-L)
  • 1557-9646
OpenAlex
W2065725998
Cited by
2,259
References
0
FWCI
24.05
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Large-signal analysis of a silicon Read diode oscillator. https://app.cochat.ai/papers/10.1109/t-ed.1969.16566
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Scharfetter, D. L., & Gummel, H. K. (1969). Large-signal analysis of a silicon Read diode oscillator. IEEE Transactions on Electron Devices. https://doi.org/10.1109/t-ed.1969.16566

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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.