Synthesis of Pendant Amine Functional Methyl Acrylate/Acrylonitrile Copolymers and Reactively Compatibilized Blends with Poly(Ethylene)
Bibliographic record
Abstract
Acrylonitrile (AN)-containing copolymers have not been widely considered as barrier dispersed phases in blends with poly(ethylene) (PE), despite the versatility in their synthesis (i.e. controlled radical radical polymerization). To use such copolymers in PE, compatibilization is essential to obtain the desired morphology and thus we made a primary amine functional monomer, IDBA (3-isopropenyl-α,α–dimethylbenzylamine), with minimal purification steps, high yield (up to 76%) and high conversion (98%) in multi-gram batches from a cheap, commercially available precursor m-TMI (3-isopropenyl-α,α−dimethylbenzyl isocyanate). Terpolymers of AN, IDBA, MA (methyl acrylate) and AN (acrylonitrile) were then synthesized in DMF solution by conventional radical polymerization (number average molecular weight = 26 – 28 kg mol-1). These polymers are reactively blended with maleic anhydride grafted PE(PE-MAn) at 20 and 40 wt% loadings at 140 °C and compared with non-reactive PE-MAn/MA-AN-AMS (AMS = –methyl styrene). Scanning electron microscopy (SEM) indicates smaller, sub-micron, thermally stable dispersed phase particle size (volume to surface area diameter 〈D〉VS) for the reactive blend (〈D〉VS = 0.6 μm). The reactive blending of the high-AN containing terpolymers with PE is thus promising as a barrier material agains hydrocarbons.
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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) | 0.001 | 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) | 0.002 | 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".