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Record W2995353524 · doi:10.1109/ultsym.2019.8925688

An evaluation of PZT5A, PIN-PMN-PT Single Crystal, and High-Dielectric PZT for a 5mm x 5mm Histotripsy Transducer

2019· article· en· W2995353524 on OpenAlexaff
Jeffrey Woodacre, Jeremy Brown

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldMaterials Science
TopicUltrasound and Cavitation Phenomena
Canadian institutionsDalhousie University
Fundersnot available
KeywordsMaterials scienceTransducerPiezoelectricityVoltageHydrophoneDielectricPressure sensorAcousticsComposite materialElectrical engineeringOptoelectronicsPhysics

Abstract

fetched live from OpenAlex

Three 5 MHz, 1-3 piezoelectric-epoxy composites with a volume fraction of approximately 40 percent were fabricated using the dice-and-fill technique. The composites, made from PZT-5A, single crystal PIN-PMN-PT, and CTS 3257HD, a high-dielectric piezoelectric, were cut to 5 mm x 5 mm a mounted to an aluminum lens of the same dimensions with a 5 mm focus, and the focal pressure as a function of drive voltage was measured using a 40 um needle hydrophone from Precision Acoustics while driving the transducer to steady-state using a custom, in-house adjustable voltage pulser with a peak voltage of 600 V. The focal pressure for each device was found to increase as, 6.6, 8.6, 9.0 MPa/100V for the PZT-5A, PIN-PMN-PT and CTS 3257 HD, respectively. It is expected that the CTS 3257 HD and PIN-PMN-PT should be capable of generating cavitation within the range of the current pulser, while we expect the PIN-PMN-PT could generate more pressure with higher voltages, but a new pulser would be required. The PZT-5A composite has been shown to reach its saturation limit at 500 V (1.5V/ μm) and, at this voltage, may not always be capable of generating cavitation consistently.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
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 score0.065
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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)0.0030.000

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 head0.024
GPT teacher head0.270
Teacher spread0.246 · 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
Published2019
Admission routes1
Has abstractyes

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