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Cited by 678

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Surface states at steam-grown silicon-silicon dioxide interfaces

Berglund, C.N.·1966·IEEE Transactions on Electron Devices

Abstract

A method of determining the energy distribution of surface states at silicon-silicon dioxide interfaces by using low-frequency differential capacitance measurements of MOS structures is described. Low-frequency measurements make it possible to determine the silicon surface potential as a function of MOS voltage directly from the experimental data without requiring knowledge of the Si doping profile. No graphical differentiations are required to determine the surface state density from the experimental curves, and errors introduced by uncertainties in the silicon doping density are reduced. Also, it is shown that the measurements can be used to determine the relative lateral uniformity in the characteristics of the oxide and interface under the MOS field plate. Nonuniformities can result in large errors in the surface-state density derived from MOS capacitance measurements. Measurements are presented and interpreted for both n- and p-type silicon samples prepared by bias-growing the oxide in steam.

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Crossref · 10.1109/t-ed.1966.15827

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Metadata

Authors
Berglund, C. N.
Venue
IEEE Transactions on Electron Devices
Published
1966-10
Volume
ED-13
Issue
10
Pages
701-705
ISSN
  • 0018-9383 (ISSN-L)
  • 1557-9646
OpenAlex
W2042002599
Cited by
678
References
3
FWCI
5.44
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Surface states at steam-grown silicon-silicon dioxide interfaces. https://app.cochat.ai/papers/10.1109/t-ed.1966.15827
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Berglund, C. N. (1966). Surface states at steam-grown silicon-silicon dioxide interfaces. IEEE Transactions on Electron Devices. https://doi.org/10.1109/t-ed.1966.15827

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.