The effect of polyhedral oligomeric silsesquioxane fillers in <scp>non‐isocyanate</scp> polyurethane hybrid resins
Bibliographic record
Abstract
Abstract Polyhedral oligomeric silsesquioxane (POSS) is added to poly(hydroxyurethane) (PHU) prepolymers to create hybrid PHUs (HPHUs) with enhanced mechanical and thermal properties. These hybrid materials were then further functionalized with 3‐Isocyanatopropyl(trimethoxy) silane (IPTMS) via the pendent hydroxyl bonds within the backbone of the polymers to obtain a final cured film comparable to conventional polyurethanes (PU), using less isocyanate‐functional material. The incorporation of POSS into PHU prepolymers to obtain HPHUs was supported by gel permeation chromatography, fourier tranform infrared spectroscopy (FTIR) and nuclear magnetic resonance analysis. Furthermore, the thermal degradation of the HPHUs was significantly improved with increasing POSS concentration compared to their PHU counterparts as the degradation temperatures at 50% weight loss increased from 263°C for the PHU to 341°C for the HPHU. Gel content tests in tetrahydrofuran (THF), water, and toluene were performed and gel contents of 87%–99% in THF were observed for the cured films. Water swelling, and contact angle tests confirmed that the POSS‐modified films exhibited hydrophobic behavior. Finally, mechanical properties of the cured films were investigated. The Young's modulus and tensile strength were improved with increasing POSS concentration (from 2.0 to 3.1 MPa and from 0.82 to 1.32 MPa, respectively) and elongations at break up to 41.6% were observed. When compared to a conventional PU sealant, the HPHU achieved a tensile strength that was two‐fold greater and a comparable elongation at break (increasing from 24.8% to as high as 41.6%).
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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 | 0.000 | 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".