A hybrid methacrylate‐norbornene‐thiol photopolymerization system with tunable physical and mechanical properties
Bibliographic record
Abstract
Abstract Photopolymerization of a hybrid methacrylate‐norbornene‐thiol system is used for the solvent‐free synthesis of polymers with tunable physical and mechanical properties. We demonstrate competitive adhesive performance of this system by examining factors such as thiol:ene ratio, thiol functionality, and the incorporation of a methacrylate as a hard monomer. Firstly, ethylene glycol dicyclopentenyl ether methacrylate (EGDEMA) and the di‐functional thiol ethylene bis(3‐mercapto propionate) (EBM) are photopolymerized to produce crosslinked networks with high conversion (up to 100%), high gel content (up to 77%), and low Tg (−2.5 to −13.5°C). Rheological studies found these formulations satisfied the Dahlquist criteria for pressure‐sensitive adhesives (PSAs) with the best adhesive/cohesive performance at thiol:ene ratios = 0.5–0.75. Secondly, a tetra‐functional thiol (PEMP) is crosslinked with EGDEMA photochemically, yielding elastomeric polymer films made to high conversion (up to 100%), with comparatively higher Tg (9–17°C), and higher gel content (up to 100%). Finally, isobornyl methacrylate (IBOMA) is incorporated as a hard monomer and crosslinked with a bifunctional thiol to produce thermoplastic polymers with negligible gel content and variable Tg (−12 to 41°C), suitable for application as temporary adhesives. These findings propose the use of the hybrid system in one‐step solventless formulations for UV curable adhesives, depending on component selection.
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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".