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Chemical Etching of Silicon: IV . Etching Technology

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Schwartz, B., Robbins, H.·1976·Journal of The Electrochemical Society

Abstract

The etching of silicon in based systems proceeds by a sequential oxidation‐followed‐by‐dissolution process. In those composition regions where the solution is very low in and rich in , the rate‐limiting process is the oxidation step. Consequently, electron concentration, surface orientation, crystal defects, and catalysis by lower oxides of nitrogen play an important role. In those compositions where is in limited supply, dissolution of the formed oxide is the rate‐controlling step and diffusion of the complexing fluoride species is the important factor. Therefore, crystal orientation and conductivity type independence as well as hydrodynamic control are the consequences. In order to meaningfully select an etching composition to solve a specific processing problem, it is necessary to understand this composition‐mechanism interaction. Corollary with the mechanism understanding, sample geometry effects have been followed as a function of solution composition. The solution composition plane has been characterized into various regions where the two basic mechanisms interact and specific procesing utilization is shown. Similar results are shown for the system . In addition, a number of particular etching problems are posed, and solutions offered, that make use of these composition characterizations, and show how one can use their information to solve other practical processing problems.

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Metadata

Authors
Schwartz, B., & Robbins, H.
Venue
Journal of The Electrochemical Society
Published
1976-12-01
Volume
123
Issue
12
Pages
1903-1909
ISSN
  • 0013-4651 (ISSN-L)
  • 1945-7111
OpenAlex
W1504539634
Cited by
354
References
0
FWCI
4.25
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Chemical Etching of Silicon: IV . Etching Technology. https://app.cochat.ai/papers/10.1149/1.2132721
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Schwartz, B., & Robbins, H. (1976). Chemical Etching of Silicon: IV . Etching Technology. Journal of The Electrochemical Society. https://doi.org/10.1149/1.2132721

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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.