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Record W6891703442 · doi:10.4224/40002661

Low voltage deformable mirror system driven by MEMS-based Lorentz actuator arrays

2021· other· en· W6891703442 on OpenAlexaffvenue

Bibliographic record

VenueNPARC · 2021
Typeother
Languageen
Field
Topic
Canadian institutionsHerzberg Institute of AstrophysicsNational Institute for Nanotechnology
Fundersnot available
KeywordsActuatorLorentz forceMicroelectromechanical systemsDeformable mirrorMultiphysicsVoltageWavefrontLow voltage

Abstract

fetched live from OpenAlex

The design and analysis of a low voltage large stroke (over 10 µm) MEMS Lorentz deformable mirror, which uses a rigid crossbar, serpentine spring, and thin membrane mirror, is presented. The rigid crossbar and flexible serpentine spring structure minimize the driving current and voltage by maximizing the generated Lorentz force. Designed actuators constitute hundreds or thousands of arrays, depending on the application, and are bonded to a thin-film mirror. The mirror surface can be transformed into various shapes by the Lorentz force generated on each actuator node, which can be used to compensate for distorted wavefronts caused by atmospheric turbulence in ground-based telescope applications. The proposed structure is modelled and studied using COMSOL Multiphysics software

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: Other · Consensus signal: none
Teacher disagreement score0.002
Threshold uncertainty score0.005

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 science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.235
Teacher spread0.223 · 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
GenreOther

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

Citations0
Published2021
Admission routes2
Has abstractyes

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