Synthesis and characterization of natural rubber‐based telechelic oligomers via olefin metathesis
Bibliographic record
Abstract
Abstract Metathesis degradation and functionalization of natural rubber (NR) were conducted with 1‐hexene, 1‐octene, 1‐decene, 1‐dodecene, trans ‐stilbene, and 4,4′‐dibromo‐ trans ‐stilbene as chain transfer agents (CTAs) in presence of Grubbs 2nd generation catalyst to generate NR‐based telechelic oligomers that had been a long‐lasting challenge due to the structure and compositions of NR with various impurities. Orthogonal experiments were applied and the effects of the CTA type, CTA concentration, catalyst concentration, reaction time, and reaction temperature on the formation of telechelic oligomers were studied, indicating that the catalyst concentration was the major factor influencing the number average molecular weights ( M n ) and polymer dispersity index (PDI) of telechelic oligomers. The structures of the oligomers were characterized using 1 H NMR, 13 C NMR, and MALDI‐TOF‐MS, which confirmed the formation of the designed terminal groups. The results showed that well‐defined telechelic oligomers with a M n of a few thousand and a PDI around 1.6 were obtained, with potential applications in binder, lubricant and many other fields.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".