Experimental Investigation of AGET ATRP Polymerization of Butyl Methacrylate in an Emulsion Stirred Tank Reactor
Bibliographic record
Abstract
This study investigates ATRP emulsion polymerization of butyl methacrylate (BMA) in a 2-L stirred tank reactor using AGET as the initiation technique with ascorbic acid. The polymerization is performed in two step procedure using surfactant (Brij 98) in distilled water. The reaction is initiated by the catalyst CuBr2/dNbpy and initiator EBiB under a blanket of nitrogen to minimize air presence. An experimental design is performed to investigate the effects of the key variables: temperature, catalyst complex, surfactant and reducing agent. For reaction temperatures of 50°C, 60°C and 70°C, BMA conversion obtained is 63.9%, 70.2% and 85.8%, respectively. All other nine tests are done at 70°C for appropriate amounts of reactants. The results concluded that BMA conversion improves to 90% and the PDI increases slightly from 1.15 to 1.29 for more ascorbic acid. BMA conversion and PDI improve with less surfactant, but more ligand narrows MWD and reduces the catalyst activity.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".