MétaCan
Menu
Back to cohort
Record W3034264019 · doi:10.1364/ol.397213

Ultracompact twisted silica taper for 20  kHz to 94  MHz ultrasound sensing

2020· article· en· W3034264019 on OpenAlexafffund
Huibo Fan, Wenwen Ma, Liang Chen, Xiaoyi Bao

Bibliographic record

VenueOptics Letters · 2020
Typearticle
Languageen
FieldEngineering
TopicAdvanced Fiber Optic Sensors
Canadian institutionsUniversity of Ottawa
FundersNatural Sciences and Engineering Research Council of CanadaCanada Research Chairs
KeywordsMaterials scienceUltrasoundOpticsTransducerHarmonicsBroadbandSensitivity (control systems)AcousticsElectronic engineering

Abstract

fetched live from OpenAlex

An ultracompact twisted silica taper with an asymmetric structure is fabricated by fire-drawing two twisted single-mode fibers for broadband ultrasound sensing. A piezoelectric transducer (PZT), peaked at 3.7 MHz, is used as an ultrasound generator. A steel plate with a silica taper attached is adhered to the PZT and is used as the ultrasound propagation medium. The transmission spectrum of the silica taper has high contrast owing to multimode interference in this twisted silica structure. Specially, the taper waist length and waist diameter are optimized for the highest optical sensitivity with high contrast at high slope in the transmission spectrum. The ultrasound sensitivity is characterized by a different thickness of the steel plate from 0 to 2.36 mm to achieve the highest ultrasound frequency response. With the taper waist length of 5 mm, waist diameter of 5 µm, and steel thickness of 0 mm, a broadband ultrasound frequency of 20 kHz to 94.4 MHz can be detected at high harmonics of the PZT, verifying the high sensitivity of the compact twisted silica taper.

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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.409
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
Bibliometrics0.0000.000
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 head0.017
GPT teacher head0.232
Teacher spread0.215 · 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 designSimulation or modeling
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

Citations23
Published2020
Admission routes2
Has abstractyes

Explore more

Same venueOptics LettersSame topicAdvanced Fiber Optic SensorsFrench-language works237,207