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Record W2058993247 · doi:10.1109/ceidp.2012.6378750

Effect of high field on dielectric relaxation properties of polycarbonate

2012· article· en· W2058993247 on OpenAlexafffund
H. Couderc, M. Fréchette, S. Savoie, Éric David

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldMaterials Science
TopicMaterial Dynamics and Properties
Canadian institutionsÉcole de Technologie SupérieureHydro-Québec
FundersMitacs
KeywordsDielectricMaterials scienceRelaxation (psychology)Glass transitionChemical physicsDipolePolycarbonatePolymerElectric fieldActivation energyCole–Cole equationField (mathematics)Condensed matter physicsComposite materialChemistryOrganic chemistryOptoelectronicsPhysics

Abstract

fetched live from OpenAlex

High voltage properties of dielectric materials are of great interest for the insulator industrial field. Indeed, the application of alternative or continuous electrical field may modify the physical properties of polymers. Particularly, dipoles orientate themselves in the electrical field direction. So, macromolecular chains, following the dipoles orientation, move too. Glassy state is a non-equilibrium state. Due to the energy excess, resulting from kinetic conditions during cooling from the liquid state, all glasses and especially polymers sustain a phenomenon called physical ageing or structural relaxation under the glass transition temperature. This phenomenon results in change with time of physical properties due to rearrangements of macromolecules in order to decrease their energy. This change directly affects the durability in use of polymers and molecules movements are associated with glass transition dynamics. The interaction between macromolecules movements induced by physical ageing and by electrical field is not known. In order to clarify this interaction, a model thermoplastic, polycarbonate, has been studied with dielectric spectroscopy under different AC conditions. Dielectric spectroscopy technique has been chosen because it allows simultaneously to apply an electrical field and to follow the molecular dynamics with temperature. The obtained spectra were fitted using Havriliak - Negami functions and the relaxation time distribution functions were deduced. There is a clear effect of the electrical field on the dielectric responses associated with higher excitation fields.

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)0.000
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 score0.007
Threshold uncertainty score0.380

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 head0.008
GPT teacher head0.211
Teacher spread0.203 · 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.

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

Citations1
Published2012
Admission routes2
Has abstractyes

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