In Silico Design of <i>C</i><sub>1</sub>- and <i>C</i><sub><i>s</i></sub>-Symmetric Fluorenyl-Based Metallocene Catalysts for the Synthesis of High-Molecular-Weight Polymers from Ethylene/Propylene Copolymerization
Bibliographic record
Abstract
C 1 - and C s -symmetric fluorenyl-based metallocenes have been used extensively as catalysts for the synthesis of high-molecular-weight polymers from ethylene and propylene homopolymerization. However, these same catalysts produce only low-molecular-weight polymers in ethylene/propylene copolymerization. We have shown in a recent study that the poor performance of fluorenyl-based C 1 -symmetric zirconocenes in ethylene/propylene polymerization is a result of electronic effects. Furthermore, we have also shown in another investigation that incorporating sterically demanding substituents in the 2- and 4- positions of C 2 -symmetric zirconocenes can significantly increase molecular weight in copolymerization. In the present study we shall use the same approach (modifying substituents on the cyclopentadienyl and fluorenyl ligands) to design C 1 - and C s -symmetric fluorenyl-based metallocenes that afford high-molecular-weight polymers from ethylene/propylene copolymerization.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.003 |
| 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".