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Record W1528807577 · doi:10.1109/isaf.1990.200260

The effect of electrode materials on measured piezoelectric properties of ceramics and ceramic-polymer composites

2002· article· en· W1528807577 on OpenAlexaff
Stewart Sherrit, Nicolas Gauthier, H. D. Wiederick, Bhaskar Mukherjee, Siva Prasad

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicUltrasonics and Acoustic Wave Propagation
Canadian institutionsRoyal Military College of Canada
Fundersnot available
KeywordsMaterials scienceCeramicComposite materialElectrodeLead zirconate titanateDielectricPiezoelectricityPolymerEpoxyCapacitancePermittivityFerroelectricityOptoelectronics

Abstract

fetched live from OpenAlex

The effect of electrodes on the measurement of dielectric, piezoelectric, and mechanical properties of lead zirconate-titanate (PZT) ceramics and of 1-3 connectivity ceramic-polymer composites was studied. While fired silver and evaporated silver electrodes were found to have little effect on the measurements, silver epoxy electrodes resulted in a significant reduction in the measured values of the dielectric and piezoelectric constants. In the 1-3 composites the effect was independent of the ceramic content. The observations can be understood on the basis of a model which takes account of the capacitance at the ceramic-electrode interface due to the presence of pores and binder material. It was found that the effect of the electrodes can be nullified by the deposition of a thin metal film on the specimen before the electrode was applied.>

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)0.001
metaresearch head score (Gemma)0.005
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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
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 head0.007
GPT teacher head0.164
Teacher spread0.157 · 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
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

Citations5
Published2002
Admission routes1
Has abstractyes

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