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Record W2618934574 · doi:10.1109/jsen.2017.2707063

A High-Performance Piezoelectric Vibration Sensor

2017· article· en· W2618934574 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueIEEE Sensors Journal · 2017
Typearticle
Languageen
FieldEngineering
TopicAdvanced MEMS and NEMS Technologies
Canadian institutionsSimon Fraser University
FundersNatural Sciences and Engineering Research Council of CanadaCMC Microsystems
KeywordsPiezoelectricityMaterials scienceWaferVibrationProof massFabricationWidebandSensitivity (control systems)Finite element methodPiezoelectric sensorAcousticsElectronic engineeringPMUTNoise (video)Microelectromechanical systemsOptoelectronicsEngineeringStructural engineeringComputer scienceComposite material

Abstract

fetched live from OpenAlex

We are reporting on the design, fabrication, and characterization of wideband, piezoelectric vibration microsensors. Prototypes were fabricated in a commercial foundry process. The entire thickness of the handle wafer was employed to carve the proof-mass of the device, leading to high sensitivity at a reduced chip area. A thin layer of aluminum nitride was used for sensing the displacements of the proof-mass. A continuous membrane was employed for the device structure in order to push undesired modes to high frequencies. Sensors with different geometries were designed and fabricated. Analytic and finite element analyses were conducted to study device response. A lump element model was developed for the piezoelectric vibration sensor and used for the noise modeling of the complete sensor system. Various performance metrics for the devices were characterized experimentally. Fabricated prototypes exhibited sensitivities as high as 350 mV/g with first resonant frequencies of more than 10 kHz. These devices are particularly suited for emerging applications in high-frequency vibration sensing.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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: Empirical
Teacher disagreement score0.223
Threshold uncertainty score0.497

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.226
Teacher spread0.214 · 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