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Record W1983409768 · doi:10.1109/tdei.2012.6260001

Dielectric study of low glass transition temperature cycloaliphatic UV-curable epoxy networks

2012· article· en· W1983409768 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

VenueIEEE Transactions on Dielectrics and Electrical Insulation · 2012
Typearticle
Languageen
FieldChemistry
TopicPhotopolymerization techniques and applications
Canadian institutionsHydro-Québec
FundersPolitecnico di Torino
KeywordsGlass transitionComonomerDielectricMaterials scienceDiglycidyl etherEpoxySpace chargeRelaxation (psychology)CopolymerPolymerComposite materialPolymer chemistryMonomerChemical engineeringOptoelectronics

Abstract

fetched live from OpenAlex

This work focuses on the dielectric properties of a UV-cured epoxy network with a low glass transition temperature obtained through photoinduced copolymerization of a cycloaliphatic diepoxy monomer, 3,4-epoxycyclohexylmethyl-3',4'-epoxycyclohexanecarboxylate (CE), with 1,6-hexanediol diglycidyl ether (HDGE). The crosslinking density of the system has been tuned using different amounts of the low glass transition temperature HDGE comonomer (up to 60 wt.% HDGE). The structural morphology and space charge obtained with the Thermal Step Method were studied following various thermal treatments of the samples. Both the thermal properties and the dielectric responses (dielectric constant) for the UV-cured HDGE/CE systems turned out to be dependent on the structural morphology and composition of the polymer network. In particular, two relaxation modes, γ, β and α were observed, attributed to local molecular motions. Lastly, the potential effect of moisture and/or ions and the effect of space charge on the copolymers were also investigated.

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 categoriesMeta-epidemiology (narrow)
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 score0.286
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.009
GPT teacher head0.237
Teacher spread0.228 · 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