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Record W2060681298 · doi:10.1109/tuffc.2014.006711

Porous ceramics as backing element for high-temperature transducers

2015· article· en· W2060681298 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.

Bibliographic record

VenueIEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control · 2015
Typearticle
Languageen
FieldMaterials Science
TopicAdvanced ceramic materials synthesis
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMaterials scienceTransducerCeramicPorosityThermistorTemperature measurementOptoelectronicsAcousticsElectrical engineeringComposite materialEngineeringPhysics

Abstract

fetched live from OpenAlex

A new application of porous ceramics as the attenuative backing element in high-temperature transducers is introduced. By introducing pores of different volume fractions and various sizes into the ceramic matrix, acoustic impedance and attenuation can be controlled to match their optimal values as predicted by a simple numerical model of the entire transducer, coupled with a model of the attenuative effect of the pores. This concept was applied to the design and manufacture of porous 3mol% Yttria-stabilized zirconia (YSZ) backing elements for a 2.8-MHz lithium niobate (LiNbO3) piezoelectric crystal, with a targeted operating temperature of 700°C to 800°C. Acoustic measurements revealed that the actual acoustic impedance and attenuation of the porous samples matched well with their predicted values. The design and fabrication process can be employed in manufacturing backing elements for a variety of transducers with specified center frequency and signal bandwidth.

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)0.001
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 score0.456
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.014
GPT teacher head0.239
Teacher spread0.225 · 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