Functional self‐healable <scp>EVA</scp> elastomers based on reversible covalent networks: A potential new class of epoxy‐based specialty adhesives
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 Multifunctional elastomers have gained tremendous attention in the material research community. In this study, an epoxy functionalized elastomer poly(ethylene‐ co ‐vinyl acetate‐ co ‐glycidyl methacrylate) (EVA‐GMA) that is commercially available was modified with dynamic covalent chemistry to make it self‐healable and recyclable, as well as to investigate its adhesive properties. EVA‐GMA was modified to a furfuryl‐appended diene elastomer (FA‐EVA‐GMA) and subsequently cross‐linked with bifunctional 1,2,4‐triazoline‐3,5‐dione (bis‐TAD) and bismaleimide (BMI) derivatives via electrophilic substitution (ES) and Diels‐Alder (DA) chemistry, respectively. The ES modification of the elastomer was ambiently completed using bis‐TAD, whereas its maleimide modification required elevated conditions (65 °C) with a longer time of 24 h. The tensile study showed a remarkable improvement in the mechanical strength upon cross‐linking the elastomers. The differential scanning calorimetry (DSC) analysis elucidated the thermoreversible characteristics of both the ES and DA‐derived networks, showing the cleavage of ES and DA conjugates at 135 °C (retro‐ES) and 140 °C (retro‐DA), respectively. The cross‐linked elastomers exhibited significant self‐healing characteristics (with a healing efficiency of ≈ 88%) and monitored using an optical microscope and tensile analysis. Interestingly, the bis‐TAD‐derived and bismaleimide functionalized EVA‐elastomer showed excellent adhesive properties toward the metal surfaces, as analyzed via lap shear test.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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