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Record W1989552414 · doi:10.1177/1045389x12464530

A unified multiphysics finite element model of the polypyrrole trilayer actuation mechanism

2012· article· en· W1989552414 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

VenueJournal of Intelligent Material Systems and Structures · 2012
Typearticle
Languageen
FieldMaterials Science
TopicConducting polymers and applications
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMultiphysicsActuatorFinite element methodPolypyrroleMaterials scienceMechanism (biology)Deformation (meteorology)Mechanical engineeringConductive polymerRange (aeronautics)Computer sciencePolymerStructural engineeringComposite materialEngineeringPhysics

Abstract

fetched live from OpenAlex

Conducting polymer materials have demonstrated new possibilities for low-density active material actuators. This article briefly introduces several existing conducting polymer actuator modelling approaches and identifies limitations on their sole applicability for predictive design. The main contribution of this article is the proposal and development of a new unified multiphysics finite element model of the polypyrrole trilayer actuation mechanism that does not depend on specimen-specific parameters. The model predicts the structural deformation of trilayer actuators using only material properties such that the model itself is sample-independent and thus may have practical use as an electroactive polymer design facility. Comparison with published data indicates that the model’s predictions fall within 95% confidence intervals throughout the entire range of input potentials evaluated.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.012
Threshold uncertainty score0.236

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 head0.036
GPT teacher head0.267
Teacher spread0.231 · 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