CO<sub>2</sub>‐derived latent nitrogen nucleophiles for controlled cross‐linking of brominated poly(isobutylene‐<i>co</i>‐isoprene)
Bibliographic record
Abstract
Abstract New methods for preparing thermoset elastomer products from brominated poly(isobutylene‐co‐isoprene) (BIIR) are described, wherein control of cross‐linking dynamics is gained using latent forms of ammonia, primary amines, and cyclic amidines. BIIR cross‐linking by repeated alkylation of standard nitrogen nucleophiles is too rapid at standard polymer processing temperatures, whereas CO2‐derived salts are shown to be sufficiently inactive under these conditions to support conventional BIIR compounding. Examples include the carbonate, bicarbonate and carbamate salts of ammonia; carbamate and carbamate esters of hexadecyl amine; and the bicarbonate salt of 1,8‐diazabicyclo[5.4.1]undec‐7‐ene. Thermal decomposition of these latent curatives releases CO2 and the desired nucleophile to support high cross‐linking rates and yields at standard cure temperatures. Thermogravimetric analysis of salt decomposition, rheological measurements of cross‐link density, and spectroscopic analysis of polymer dehydrohalogenation products are used to define the relationship between latent nucleophile activation and BIIR cure dynamics. POLYM. ENG. SCI., 2011. © 2011 Society of Plastics Engineers.
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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".