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Record W3098356263 · doi:10.1109/ius46767.2020.9251591

A Two-Port Multiple Moving Membrane Capacitive Micromachined Ultrasonic Transducer with Reduced Effective Height and Enhanced Sensitivity

2020· article· en· W3098356263 on OpenAlexaff
Rima Butrus, Haleh Nazemi, Muhammad Umair Nathani, Rohit Karmarkar, D. A. Buchanan, Arezoo Emadi

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicInnovative Energy Harvesting Technologies
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsTransducerCapacitive sensingMaterials scienceUltrasonic sensorCapacitive micromachined ultrasonic transducersAcousticsElectrical impedanceVoltageSensitivity (control systems)ElectrodePort (circuit theory)OptoelectronicsElectrical engineeringElectronic engineeringEngineeringPhysics

Abstract

fetched live from OpenAlex

This paper presents a theoretical model and an experimental validation of a two-port multiple moving membrane capacitive micromachined ultrasonic transducer. The developed transducer includes a stack of two flexible membranes suspended on a fixed electrode. The transducer is fabricated utilizing a sacrificial technique, PolyMUMPs, and with a resonant frequency of 1.8 MHz. Electrical measurements are conducted using an impedance analyzer in order to investigate the influence of the transducer's additional moving membrane on the device effective cavity height. This, consequently, influences the transducer acoustic power generation. The deigned two port transducer enables a dynamic change in the effective cavity height through adjusting the applied DC bias voltage. The experimental results validate this hypothesis and are shown in agreement with the theoretical results.

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 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 categoriesMeta-epidemiology (narrow)
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 score0.049
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.007
GPT teacher head0.194
Teacher spread0.187 · 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 teacher head, not a consensus.

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

Citations3
Published2020
Admission routes1
Has abstractyes

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