Transparent and Recyclable PDMS Adhesive Enabled by Dynamic Diels–Alder Cross-linking
Bibliographic record
Abstract
When designing a consumer device, recyclability is not usually a primary consideration. Thus, packaging and encapsulation of interior and exterior components is achieved using robust materials─e.g., metals, glasses, ceramics, and adhesives bearing irreversible cross-links. If recycling is attempted, the high value components are most often liberated by incineration or destructive mechanical processing. Controlled debonding using a reversible adhesive is an approach to circumvent some of this destruction. This paper describes a reversibly cross-linked interlayer polymer (“ReCLIP”) that cures by way of a thermally reversible Diels–Alder (DA) reaction between furan-functionalized silicone chains and an aromatic bismaleimide. Two-dimensional 1 H– 1 H COSY NMR experiments were used to distinguish between the exo and endo diastereomers of the furan–maleimide DA adduct. The exo–endo ratio exerted a pronounced influence on the thermal stability and adhesion strength of the resulting polymer network. With one-dimensional 1 H NMR monitoring, we established that the Diels–Alder cross-linking proceeded most rapidly at 80 °C, while complete conversion and a high proportion of the exo adduct (∼93%) were also observed at 60 °C with extended reaction times. One-dimensional 1 H NMR also revealed that the onset of the reverse (retro-Diels–Alder) reaction occurred at ∼90 °C. Using a lap-shear geometry, ReCLIP exhibited a maximum shear strength of 286 ± 50 kPa, comparable in magnitude to values seen for other silicone adhesives. Films exhibited excellent transparency and stability over time under ambient conditions.
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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) | 0.001 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".