Cationic polymerization using mixed cationic photoinitiator systems
Bibliographic record
Abstract
Photoinitiated cationic polymerization is useful wherever the lack of oxygen inhibition, low shrinkage and formation of polymers with good adhesion properties are essential. Rates and conversions for cationic polymerizations of epoxycyclohexylmethyl-epoxycyclohexane carboxylate (ECHC) with various cationic photoinitiators and their blends were compared. Glass-transition temperatures of polymers were determined by dynamic mechanical analysis. When photopolymerizations of ECHC with initiator blends were compared with single-initiator systems, strong synergies leading to high polymerization rates and conversions were discovered for blends of diaryliodonium hexafluoroantimonate (IA) with tolylcumyliodonium tetrakis(pentafluorophenyl)borate (IB), and cumenecyclopentadienyliron(II) hexafluorophosphate with IA and IB. Mechanisms responsible for the discovered synergies are proposed.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".