Harnessing Activated Alkyne-Hydroxyl “Click” Chemistry for Degradable and Self-Healing Poly(urea vinyl ether ester)s
Bibliographic record
Abstract
The growing impact of polymers in modern-day applications necessitates the development of novel polymeric materials with versatile properties derived from readily available chemicals by employing experimentally simple and efficient polymerization techniques. The “click” reaction between activated alkynes and heteronucleophiles has emerged as a transition-metal catalyst-free, mild, and facile approach to synthesize a wide range of valuable polymeric materials. Interestingly, despite the abundance of hydroxyl groups in organic molecules, their weak nucleophilicity has resulted in their underutilization in “click” reactions. Herein, we harness the potential of hydroxyl nucleophiles for the “click” reaction with activated alkynes, leading to the development of a distinct class of polyureas (PUs) referred to as poly(urea vinyl ether ester)s (PUVEE)s. Utilizing systematically optimized mild polymerization conditions, we successfully obtained thermally stable PUVEEs, soluble in common polar organic solvents, exhibiting weight-average molecular weights of up to 14,000 g mol –1 . The current activated alkyne-hydroxyl “click” polymerization approach represents a sustainable, isocyanate (functional group with high toxicity)-free method for PU synthesis, wherein the commodity chemical urea serves as the direct source of urea functionality. Moreover, tuning the spacer chain length and the density of urea hydrogen bonds in the polymer backbone imparts diverse features to the developed PUVEEs, ranging from high stiffness to stretchability, with intriguing capacity for room-temperature self-healability. Additionally, the incorporated vinyl ether and ester functionalities contribute to the degradability of our PUVEEs into small molecules or oligomers under acidic conditions. Consequently, this class of PUs demonstrates high relevance in promoting sustainability through material reprocessability, via their self-healing property, and reduced environmental impact thanks to their degradability.
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 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".