A hybrid methacrylate‐norbornene‐thiol photopolymerization system with tunable physical and mechanical properties
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
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 T g (−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 T g (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 T g (−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.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.001 |
| 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) | 0.000 | 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 it