A Two-Step Emulsion Polymerization Process Catalyzed by an Organic Diperoxide
Bibliographic record
Abstract
Abstract An emulsion polymerization process is described which consists of consecutively polymerizing at least two olefinic monomers using an organic diperoxide with two independently functioning peroxy groups, namely 2,5-dimethyl-2-t-butylperoxy-5-hydroxy hexane. In the first polymerization step, the hydroperoxide group is activated by a redox reaction at low temperatures without decomposing the t-butyl peroxide portion of the initiator molecule. After charging fresh monomer, the t-butyl peroxide can then be thermally activated to initiate a second-stage polymerization reaction. This polymerization process employs conventional emulsion polymerization technology. It yields polymeric product with unique physical properties. Polymers with butadiene monomer in the first polymerization step, followed by styrene polymerization in the second step, resemble SBS tri-block polymers. They are thermoplastic, highly resilient and of good strength at high ultimate elongations. The consecutive polymerization of butadiene and acrylonitrile yields elastomers with a superior balance of low-temperature flexibility and resistance to swelling in organic solvents, when compared with random NBR copolymers of equivalent chemical composition. Combinations of butadiene and styrene in the first polymerization stage followed by styrene/acrylonitrile polymerization in the second, yield transparent ABS polymers with superior low-temperature impact resistance. Reference is also made to the polymerization of additional vinyl monomers.
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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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".