Graphene-Embedded Hybrid Network Structure to Render Olefin Block Copolymer Foams with High Compression Performance
Bibliographic record
Abstract
Graphene has abundant interactions with polymers by adhering to macromolecular chain segments, facilitating heterogeneous crystal nucleation and adsorbing free radicals. Hence, a hierarchical network structure using graphene as the anchor could be formed in an olefin block copolymer (OBC)/low-density polyethylene (LDPE) blend together with cross-linking points and entanglement points. Then, a nanocomposite foam was fabricated by supercritical CO2 foaming. In this work, a graphene-embedded hybrid network structure was designed to effectively control OBC/LDPE foaming. The strategy is as follows: (1) Macromolecular free radicals triggered by peroxide were adsorbed on the surface of graphene to form a dentritic-on-plate structure. (2) Both OBC and LDPE molecular chain segments were adhered to graphene to form a hybrid physical network. (3) Long-branched chains of LDPE formed entanglement points with both molecular chains whose segments adhered to graphene and macromolecular free radicals adsorbed on graphene. Finally, an optimized graphene content of 0.5 wt % in the obtained nanocomposite foam would maximize its compression stability (hysteresis loss of 53%) with a high resilience of 60%.
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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 | 0.001 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".