Production of Ethylene/α-Olefin/1,9-Decadiene Copolymers with Complex Microstructures Using a Two-Stage Polymerization Process
Bibliographic record
Abstract
Ethylene was copolymerized with 1,9-decadiene using methylaluminoxane-activated rac -Et(Ind) 2 ZrCl 2 at 120 °C to produce macromonomers with pendant and terminal vinyl groups with a maximum of 6.5 vinyl groups per polymer chain. The macromonomers were copolymerized with ethylene and 1-butene or 1-octene using a constrained geometry catalyst (dimethylsilyl( N - tert -butylamido)(tetramethylcyclopentadienyl)titanium dichloride) at 120 °C in toluene. The resulting branched polymers showed three distinct populations during crystallization analysis fractionation, indicating the formation of a new fraction produced by the incorporation of macromonomer chains into ethylene/1-butene or ethylene/1-octene copolymer chains. These novel polyolefins have complex branched structures consisting of three main components: a high-crystallinity fraction (macromonomers), a low-crystallinity (or amorphous) fraction (α-olefin copolymer), and a third component resulting from the cross-linking of the two previous components ( cross-product ). These branch–block copolymers have microstructures that can be tightly controlled by varying the conditions during the two stages of polymerization required for their synthesis and are promising new materials for specialty polyolefin applications.
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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".