Synthesis and characterization of silicon-containing arylacetylene ether of bisphenol a resins and their composites
Bibliographic record
Abstract
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( 1 H-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 ( T d5 ) 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.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".