Copolymerization of Styrene with 2-Ethylhexyl Acrylate and 2-Ethylhexyl Methacrylate by Semibatch Emulsion Polymerization Using BlocBuilderMA as Macroinitiator
Bibliographic record
Abstract
Using BlocBuilderMA (BB) as a macroinitiator, stable and controlled latexes of polystyrene (PS), poly 2-ethylhexyl acrylate (PEHA), poly 2-ethylhexyl methacrylate (PEHMA), and copolymers PS- b -PEHA and PS- b -PEHMA with solids contents up to 40 wt % were obtained. Using different concentrations of styrene (St) in the nucleation step, it was possible to obtain colloidal dispersions with particle size ranging from ≈72 nm to ≈500 nm, conversions up to ≈100%, nitroxide efficiencies ( N Eff ) up to ≈0.93, and number-average molecular weights ( M n ) from ≈8000 to ≈81 000 g/mol. These polymerizations were conducted using a very simple and fast process because it was not necessary to ionize BB, to use alkaline conditions, or to have a long seed formation step since the seed is formed in situ during the heating ramp. These features make this process a good candidate for scale-up and eventual industrial production.
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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 | 0.001 |
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".