Tough and Self-Healing Recycled Polyurethanes with Tunable Fluorescence by Chain Aggregation
Bibliographic record
Abstract
Recycling of thermoset polyurethanes (PUs) has aroused wide-ranging concerns. However, degraded thermoset PUs face great challenges in effectively rebuilding the network for multifunctional upgradation due to random chain breakage. Herein, we incorporate anionically polymerized poly(maleimide) (PM) into the reconfigured PU network to achieve improved mechanical and self-healing properties, and tunable emission of the recycled PU by chain aggregation. The aggregation of PM or degraded PU fragments via hydrogen bonding interactions forms three main cluster luminophores, of which the changing relative proportion gives rise to tunable emission (from blue to green). Meanwhile, hydrogen bonding interactions between the PM and PU chains serve as sacrificial bonds and dynamic bonds to enhance the mechanical properties (61.7 MJ/m 3, increased by 52 times) and self-healing abilities (86.6%), respectively. The design of chain aggregation opens up a new perspective for the multifunctional upgradation of recycled PU and greatly facilitates the value-added utilization of waste thermoset PUs.
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How this classification was reachedexpand
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 | 0.000 |
| 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) | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".