Supramolecular Cross-Linking of Hydrocarbon Polymers for the Formation of High-Performance and Recyclable Materials
Bibliographic record
Abstract
Thanks to their excellent thermomechanical properties, cross-linked polymers are widely used for a myriad of applications. However, due to the presence of covalent cross-links, these polymers are usually considered nonrecyclable. For hydrocarbon polymers, this problem is particularly acute because, due to the lack of functional groups, the few known cross-linking strategies are based on highly stable covalent bonds. To address this problem, we propose here a strategy to physically cross-link a polymer by adding a supramolecular host, which can complex two pendant alkyl groups of a macromolecular chain. We demonstrate that dimethoxypillar[5]arene (DM-P[5]A) possesses this unique ability. Taking advantage of this phenomenon, poly(1-decene) (PD) is conveniently cross-linked upon the addition of DM-P[5]A, thus transforming a viscous liquid into an elastomer. Furthermore, reversible cross-linking is also efficient in the solid state: for example, high- T g poly(5-hexyl-2-norbornene) (PNBE) becomes cross-linked when containing DM-P[5]A, resulting in polymers with greater mechanical properties. Remarkably, DM-P[5]A can be simply washed out with a suitable solvent, allowing the recovery of the pristine polymer free of cross-links. This very straightforward strategy thus allows any polymer containing pendant alkyl groups to be reversibly cross-linked, thus essentially solving the problem of recyclability of cross-linked polymers.
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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) | 0.002 | 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".