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Record W2014254151 · doi:10.1109/ceidp.2013.6748268

Dielectric properties of epoxy/POSS composites

2013· article· en· W2014254151 on OpenAlexafffund
Thomas Heid, M.F. Frechétte, Éric David

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldMaterials Science
TopicSilicone and Siloxane Chemistry
Canadian institutionsHydro-QuébecÉcole de Technologie Supérieure
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsEpoxyDifferential scanning calorimetryMaterials scienceComposite materialDielectricGlass transitionDissipation factorDielectric lossPolymerThermodynamics

Abstract

fetched live from OpenAlex

In this work, the dielectric responses of epoxy/POSS composites with different contents of liquid Triglycidylisobutyl-POSS (TGIB-POSS) varying from 1wt% to 10wt% were investigated using Broadband Dielectric Spectroscopy (BDS) at 20°C, before and after exposure to a post heat-treatment of the samples. Besides the known β-peak in the vicinity of 105Hz, an additional interfacial loss peak for the epoxy/POSS composites with more than 1wt% TGIB-POSS has been observed for low frequencies. Furthermore, loss tangent values of the composites were found to be reduced after incorporation of POSS, along with an increased volume resistivity, especially after thermal ageing. Differential Scanning Calorimetry (DSC) has shown a decrease in glass transition temperatures with increasing TGIB-POSS content.

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)0.000
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 score0.005

Distilled classifier scores by category (both heads)

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)0.0020.000

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 head0.014
GPT teacher head0.196
Teacher spread0.182 · 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

Citations8
Published2013
Admission routes2
Has abstractyes

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