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Synthesis and characterization of silicon-containing arylacetylene ether of bisphenol a resins and their composites

2018· article· en· W2889084522 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

VenueIOP Conference Series Materials Science and Engineering · 2018
Typearticle
Languageen
FieldMaterials Science
TopicSynthesis and properties of polymers
Canadian institutionsMinistry of Education and Child Care
Fundersnot available
KeywordsThermogravimetric analysisMaterials scienceComposite materialBisphenol AEtherFlexural strengthThermal stabilityTetrahydrofuranBisphenolComposite numberSolventPolymer chemistryEpoxyOrganic chemistryChemistry

Abstract

fetched live from OpenAlex

Two novel resins, silicon-containing arylacetylene ether of bisphenol A (PSAP-A) and 1, 3-diethynylbenzene-terminatedsilicon-containing arylacetylene ether of bisphenol A (DPSAP-A), were synthesized from dipropargyl ether of bisphenol A (BADPE) and dimethyldichlorosilane through Grignard reaction. The structures of the resins were characterized by protonnuclearmagnetic resonance(1H-NMR), and thermal properties was explored by thermogravimetric analysis(TGA)and dynamic thermo-mechanical analysis (DMA). In addition, T300 carbon fiber(T300CF) reinforced PSAP-A composite (T300CF/PSAP-A)and T300 carbon fiber reinforced DPSAP-A composite (T300CF/DPSAP-A) were prepared by a solution-impregnation process using tetrahydrofuran as solvent. The results showed that the cured PSAP-A resin and DPSAP-A resin displayed good heat resistance and processing properties. Degradation temperatures of the cured PSPA-A resin and DPSAP-A resin at 5% weight loss (Td5) were 421.5°C and 486.3°C, respectively. The flexural strengths of T300CF/PSAP-A and T300CF/PSAP-Acomposites reached 458.2 MPa and 287.6 MPa, respectively.

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)0.001
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 score0.008
Threshold uncertainty score0.517

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.001
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 head0.015
GPT teacher head0.203
Teacher spread0.188 · 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