Monte‐Carlo simulation of branching distribution in Ni‐diimine catalyzed polyethylene
Bibliographic record
Abstract
Abstract Monte‐Carlo simulation was used to study the short‐chain branch formation of polyethylene made with a Ni‐diimine catalyst. Branches are formed through the chain‐walking mechanism without any comonomer addition. The model describes the type of branch, that is, methyl, ethyl, propyl, butyl, pentyl, hexyl, heptyl, octly, nonyl, and decyl (or longer branches) and the distribution of these branches in the backbone, showing information that cannot be accessed by 13 C NMR. The branching structure of these polymers seems to be determined by two major kinetic steps described by the following model parameters: a beta transfer parameter describing the ratio of monomer insertion to beta hydrogen transfer and an isomerization barrier parameter controlling the ratio among different types of branches. The model showed that methyl branches are favored on the other branches in the chain‐walking mechanism. The branch distribution obtained with the model developed herein agrees well with 13 C NMR experimental results.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".