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Record W1997029931 · doi:10.1115/caneus2006-11030

Novel Surface-Micromachined Micromirrors for Optical MEMS Beam Manipulators

2006· article· en· W1997029931 on OpenAlexaff
Siyuan He, R. Ben Mrad

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicAdvanced MEMS and NEMS Technologies
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMicroelectromechanical systemsActuatorRotation (mathematics)OpticsJitterDeformable mirrorSurface micromachiningMaterials scienceVoltageBeam (structure)PhysicsOptoelectronicsAdaptive opticsComputer scienceElectrical engineeringEngineeringFabrication

Abstract

fetched live from OpenAlex

A novel surface-micromachined electrostatic rotation micromirror is presented. The micromirror can be used to develop high performance optical beam steering manipulators for space applications based on an array of such micromirrors which are controlled by a feedback controller to compensate for jitter and misalignment during optical metrology or communication. The rotation micromirror has a two-layer structure and uses two repulsive force electrostatic actuators which generate a force to rotate the mirror out-of-plane. The rotation angle of the micromirror is not limited by the initial gap distance between the mirror plate and the substrate. By using repulsive force actuators, the surface-micromachined rotation micromirror can achieve a large rotation angle for a large mirror size without requiring any post-release assembly to fold the mirror out or raise it up. Prototypes fabricated using MUMPs are characterized by a mirror size of 312 μm × 312 μm, a stiffness of 0.485e−8Nm/rad, a mechanical rotation of 0° ∼ 2.2° at a driving voltage of 0 ∼ 200 V.

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 score0.001
Threshold uncertainty score0.004

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 communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.012
GPT teacher head0.225
Teacher spread0.213 · 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

Citations1
Published2006
Admission routes1
Has abstractyes

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