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Record W2120063236 · doi:10.5539/jmsr.v2n1p153

Dielectric and Thermal Properties of Epoxy Resin Nanocomposites Containing Polyhedral Oligomeric Silsesquioxane

2012· article· en· W2120063236 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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJournal of Materials Science Research · 2012
Typearticle
Languageen
FieldMaterials Science
TopicSilicone and Siloxane Chemistry
Canadian institutionsnot available
FundersPeople's Government of Jilin ProvinceNational Natural Science Foundation of China
KeywordsEpoxySilsesquioxaneMaterials scienceGlass transitionNanocompositeThermal decompositionScanning electron microscopeDielectricComposite materialPolymerizationChemical engineeringPolymerOrganic chemistryChemistry

Abstract

fetched live from OpenAlex

Epoxy resin nanocomposites based on 3,3’, 5,5’ -4,4’ tetramethylbiphenyl diglycidyl epoxy resins (TMBP) were prepared through in situ co-polymerization with 4, 4’-diaminodiphenylsulfone (DDS) in the presence of octapropylglycidylether silsesquioxane (OGPOSS). The thermal properties of the TMBP/OGPOSS nanocomposite were analyzed by DSC and TGA. The glass transition temperature (Tg) increased with increasing OGPOSS content. Additionally, the integrity of the epoxy networks was also demonstrated by thermal decomposition which occurred in one-step. The dielectric constant decreased with the increase of OGPOSS content. The morphology of TMBP/OGPOSS hybrids was characterized by Scanning Electron Microscopy (SEM).

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)0.010
metaresearch head score (Gemma)0.001
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 score0.009
Threshold uncertainty score0.596

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0100.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.002
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.071
GPT teacher head0.344
Teacher spread0.273 · 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