Living Free Radical Microemulsion Polymerization of Methyl Methacrylate
Bibliographic record
Abstract
The microemulsion polymerization of MMA were carried out by using three different surfactants by adding the chain transfer agent 1-phenylethyl dithiobenzoate (PhC(S)SCH(CH 3)Ph). It was found the microemulsion polymerization of MMA had the characteristic of living radical polymerization without the co-surfactant. The polymers had molecular weight that were close to those predicted by the ratio of consumed monomer to added chain transfer agent, and they also displayed narrow molecular weight distribution (M w/M n1.3). The co-surfactants could improve the stability of the microemulsion throughout the polymerization, but they were the poisons of living radical polymerization at high conversion; the polydispersites turned wider, the real molecular weight are larger than the theoretical molecular weight greatly. The microemulsion polymerization of MMA was carried out under different temperature by using the ternary system water/CTAB/MMA. The results showed the temperature did not affect the stability of the microemulsion, but the polymerization rate increased as the temperature increased. The TEM was used to study the size of these latex particles, and the diameter of these latex particles was about 20～30 nm. The syndiotacticity of PMMA synthesized by microemulsion polymerization with chain transfer agent was higher than that of normal microemulsion polymerization.
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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".