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Record W1993349804 · doi:10.1002/pi.2783

Analytical modeling of a conducting polymer‐driven catheter

2010· article· en· W1993349804 on OpenAlexaff
Tina Shoa, John D. W. Madden, Nigel R. Munce, Victor X. D. Yang

Bibliographic record

VenuePolymer International · 2010
Typearticle
Languageen
FieldChemical Engineering
TopicAnalytical Chemistry and Sensors
Canadian institutionsSunnybrook Health Science CentreHealth Sciences CentreUniversity of British Columbia
Fundersnot available
KeywordsMaterials scienceActuatorPolypyrroleDeflection (physics)BendingComposite materialCapacitanceElectrodeNanotechnologyPolymerPolymerizationElectrical engineeringChemistryOpticsEngineeringPhysics

Abstract

fetched live from OpenAlex

Abstract A time‐dependent electrochemical and mechanical model of the bending of a conducting polymer actuator‐driven structure is presented, and the predicted response is compared with experimental results. The model uses time constants obtained from a transmission line model to describe the electronic and ionic charge transport into the polymer actuator. It then relates the charge transport to the mechanical deflection of the actuator structure. The model is used to predict the time‐dependent bending of an active catheter, which is ultimately intended for use in intravascular imaging. A commercial catheter is coated with polypyrrole and laser micromachined into electrodes, which are electrochemically activated, leading to bending of the catheter. The time‐dependent bending is compared with the dynamic beam bending model, with measured physical properties including elastic moduli, strain to charge ratio, electronic conductivity, ionic conductivity and capacitance used in the model to successfully describe the dynamics. The results of this comparison are used to determine the primary factors limiting catheter bending speed, and to suggest an optimal polypyrrole geometry and electrochemical parameters in order to achieve faster response. Copyright © 2010 Society of Chemical Industry

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
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 science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.037
GPT teacher head0.285
Teacher spread0.247 · 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 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

Citations52
Published2010
Admission routes1
Has abstractyes

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