The Preparation of Lignin-Derivable Bisphenols for the Synthesis of Polyurethanes and Nonisocyanate Polyurethanes
Bibliographic record
Abstract
The synthesis of lignin-derivable bisphenols for polyurethane (PU) and nonisocyanate polyurethane (NIPU) formation is herein investigated. Three bisphenols were synthesized from 4-propylguaiacol, eugenol, and syringol followed by the synthesis of three diols using ethylene carbonate (EC) and two cyclic carbonates using glycerol carbonate (GC) and dimethyl carbonate (DMC). The 4-propylguaiacol- and eugenol-derived diols and cyclic carbonates were explored independently for PU and NIPU syntheses, wherein it was observed that all PUs and NIPUs were amorphous. The PUs revealed higher thermal stabilities with the use of a rigid diisocyanate, while slightly higher thermal stabilities were observed for the NIPUs with the use of a nonbiobased aliphatic diamine. High molecular weights and dispersities ( Đ ’s) were observed for the soluble PUs, while the NIPUs had lower molecular weights and Đ ’s when a biobased diamine was used.
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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 | 0.001 |
| 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".