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Record W1959860760 · doi:10.1109/ccece.1996.548042

Processes to achieve vibrating beams for an angular rate measurement sensor

2002· article· en· W1959860760 on OpenAlexafffund
B. Nikpour, L. M. Landsberger, Baher Haroun, Mojtaba Kahrizi

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicAdvanced MEMS and NEMS Technologies
Canadian institutionsConcordia University
FundersNatural Sciences and Engineering Research Council of CanadaCMC Microsystems
KeywordsWaferMaterials scienceEtching (microfabrication)FabricationMasking (illustration)Beam (structure)OpticsSiliconEngravingOptoelectronicsComposite materialPhysics

Abstract

fetched live from OpenAlex

Vibrating beam structures may be used as sensing elements in an angular rate measurement sensor. Achieving a square cross-sectional area with smooth vertical side walls and sharp edges is necessary for these beams. In this work, fabrication of beams with reasonably smooth vertical sidewalls and accurate dimensions, using anisotropic etching of silicon in TMAH, has been investigated. Beams with various thicknesses (500-100 microns) are fabricated. It is shown that by carefully aligning the mask at 45/spl deg/ from thewafer flat, and by maintaining the concentration of TMAH at 25%, it is possible to achieve smooth vertical sidewalls with good uniformity along the length of the beam. Adequate control over the beam lateral dimension is achieved by etching in a 2-step procedure with the second step at a lower temperature (lower etch rate). Single-sided and double-sided masking techniques are investigated in order to fabricate the beams. An alternative design is presented to form the beams using a standard CMOS process.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.052
GPT teacher head0.241
Teacher spread0.189 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2002
Admission routes2
Has abstractyes

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