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Cited by 504

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Threshold switching in chalcogenide-glass thin films

Adler, D., Shur, M. S., Silver, M., Ovshinsky, S. R.·1980·Journal of Applied Physics

Abstract

We discuss bias-induced threshold switching in chalcogenide-glass thin films, with an emphasis on the unique aspects of this phenomenon. The electronic nature of both the ON state and the recovery process is now clear. In this paper, we also establish the fundamentally electronic origin of the initiation process. An isothermal model is presented and analyzed for filamentary ON-state solutions via a set of phenomenological kinetic equations consistent with recent advances in our understanding of the electronic structure of chalcogenide glasses. The predictions of this model compare favorably with a variety of experimental results. The model is basically that the switching transition develops when a critical electric field is reached somewhere in the sample, usually near an electrode. Field-induced carrier generation then causes the charged traps in the bulk to fill (neutralize). When all the traps are filled, carriers can transit the sample with an enhanced mobility and the generation rate required to keep the traps filled is reduced from its threshold value.

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Metadata

Authors
Adler, D., Shur, M. S., Silver, M., & Ovshinsky, S. R.
Venue
Journal of Applied Physics
Published
1980-06-01
Volume
51
Issue
6
Pages
3289-3309
ISSN
  • 0021-8979 (ISSN-L)
  • 1089-7550
OpenAlex
W2047220345
Cited by
504
References
0
FWCI
7.06
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Threshold switching in chalcogenide-glass thin films. https://app.cochat.ai/papers/10.1063/1.328036
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Adler, D., Shur, M. S., Silver, M., & Ovshinsky, S. R. (1980). Threshold switching in chalcogenide-glass thin films. Journal of Applied Physics. https://doi.org/10.1063/1.328036

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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.