Effects of Poly(propylene glycol)‐Based Triamine on the Sol/Gel Curing and Properties of Hybrid Non‐Isocyanate Polyurethanes
Bibliographic record
Abstract
Abstract Non‐isocyanate polyurethanes (NIPUs) synthesized from biodiesel‐derived diglycerol dicarbonate (DGC) and triamine functional poly(propylene glycol) (Jeffamine) are investigated to improve upon poor water resistance and slow curing kinetics observed in (DGC/diamine functional Jeffamine) NIPUs. The structural, thermal, and rheological properties of the prepolymer formulations match those of their diamine‐prepared analog previously reported. The NIPU prepolymers (number average molecular weight, M N between 4200 and 6400 g mol −1 ) are subsequently functionalized with trimethoxy silane end‐cappers to yield moisture‐curable hybrid NIPUs. The prepolymers are both successfully end‐capped and subsequently cured under ambient conditions. The sol/gel curing kinetics of the prepolymers are extensively studied, and the effects of the capping methodology, moisture, and the amount of catalyst are quantified so that gel times are observed in as little as 1.4 h at room temperature. The developed curing methods are effective leading to final hybrid films with high gel contents (>86%). The tensile properties of the final films resulting are considerably better compared to previously reported DGC/Jeffamine‐based NIPUs, which are too soft to undergo mechanical testing. Also, the films are found to exhibit a tenfold decrease in water absorption compared to the latter (5% vs 70%, respectively).
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 teacher head, 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".