Bulk dispersion of single‐walled carbon nanotubes in silicones using diblock copolymers
Bibliographic record
Abstract
ABSTRACT The interactions of a series of poly(3‐decylthiophene)‐block‐polydimethylsiloxanes (P3DT‐b‐PDMS) with single‐walled carbon nanotubes (SWNTs) are investigated. The formation of supramolecular complexes of P3DT‐b‐PDMS with SWNTs is studied in THF, toluene, xylenes, and CHCl3, and the resulting complexes are characterized by UV‐Vis‐NIR absorption and fluorescence spectroscopy. The P3DT‐b‐PDMS‐SWNT and P3DT‐SWNT complexes are further incorporated into a commercially available silicone rubber formulation. Percolation thresholds of <0.02% (P3DT‐b‐PDMS‐SWNT) and <0.05% (P3DT‐SWNT) are measured. A decrease in the percolation threshold when using the block copolymer for nanotube dispersion is observed, suggesting that the presence of a covalently‐linked PDMS block improves SWNT distribution in the silicone elastomer and allows a percolation network to form at low SWNT loadings. In addition, it is found that entanglement of the silicone block of P3DT‐PDMS with bulk silicones results in anchoring of the nanotubes within the composite, and leads to reversible conductivity changes upon repeated stretching and relaxation. © 2014 Wiley Periodicals, Inc. J. Polym. Sci., Part A: Polym. Chem. 2015, 53, 265–273
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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) | 0.001 | 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 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".