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Cited by 3,548

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Design of ion-implanted MOSFET's with very small physical dimensions

Dennard, R.H., Gaensslen, F.H., Yu, Hwa-Nien, Rideout, V.L., Bassous, E., LeBlanc, A.R.·1974·IEEE Journal of Solid-State Circuits

Abstract

This paper considers the design, fabrication, and characterization of very small Mosfet switching devices suitable for digital integrated circuits, using dimensions of the order of 1 /spl mu/. Scaling relationships are presented which show how a conventional MOSFET can be reduced in size. An improved small device structure is presented that uses ion implantation, to provide shallow source and drain regions and a nonuniform substrate doping profile. One-dimensional models are used to predict the substrate doping profile and the corresponding threshold voltage versus source voltage characteristic. A two-dimensional current transport model is used to predict the relative degree of short-channel effects for different device parameter combinations. Polysilicon-gate MOSFET's with channel lengths as short as 0.5 /spl mu/ were fabricated, and the device characteristics measured and compared with predicted values. The performance improvement expected from using these very small devices in highly miniaturized integrated circuits is projected.

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Metadata

Authors
Dennard, R. H., Gaensslen, F. H., Yu, H.-N., Rideout, V. L., Bassous, E., & LeBlanc, A. R.
Venue
IEEE Journal of Solid-State Circuits
Published
1974-10
Volume
9
Issue
5
Pages
256-268
ISSN
  • 0018-9200 (ISSN-L)
  • 1558-173X
OpenAlex
W2132729131
Cited by
3,548
References
0
FWCI
25.05
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Design of ion-implanted MOSFET's with very small physical dimensions. https://app.cochat.ai/papers/10.1109/jssc.1974.1050511
The paper
Dennard, R. H., Gaensslen, F. H., Yu, H.-N., Rideout, V. L., Bassous, E., & LeBlanc, A. R. (1974). Design of ion-implanted MOSFET's with very small physical dimensions. IEEE Journal of Solid-State Circuits. https://doi.org/10.1109/jssc.1974.1050511

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.