Moisture Curable Hybrid Polyhydroxyurethanes from Sugar‐Derived Dicarbonates
Bibliographic record
Abstract
Abstract A new set of polyhydroxyurethanes (PHUs) is synthesized from bio‐based sorbitol bicarbonate (SBC) and mannitol bicarbonate (MBC). The synthesized dicarbonates are polymerized with two long chain diamines, telelechelic amine terminated poly(propylene glycol) (PPG), and poly(dimethylsiloxane) (PDMS). Despite the high melting points of SBC and MBC, PHU prepolymers are prepared in bulk at moderate temperatures of 60–100 °C. The structural and thermal properties of the resulting PHUs are qualitatively and quantitatively characterized in order to evaluate them as potential sealants and adhesives, and they are end‐capped with moisture curing agents and left to cure at ambient conditions (22 °C and 20–30% humidity) with the curing processes monitored rheologically. The chemical stability of the novel partially sustainable hybrid PHUs (HPHUs) in pure water is investigated to check the viability of applying them outdoors. Only SBC or MBC‐PDMS HPHUs are found to be hydrophobic with water contact angles of 105° and 109°, respectively, but they are brittle. Small and wide‐angle X‐ray scattering of these water‐resistant films show that they are potentially composed of three different phases due to microphase separation: the PDMS matrix, a hard segments phase, and a third phase mixing the PDMS diamine end‐segments and some dissolved hard segments.
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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".