Dispersion of single-walled carbon nanotubes using polyelectrolytes
Bibliographic record
Abstract
In order to produce high performance SWNT-based products, it is necessary to make them soluble, reaching a certain degree of dispersion and stability in solution. Since SWNTs are mostly inert, being neither hydrophilic nor lipophilic, their use suffers from poor dispersion capability and weak interaction with other partners. Therefore, activating and modifying their surface is an essential prerequisite to processing. We report on a versatile nondestructive strategy for the non-covalent functionalization of SWNT by polyelectrolytes based on maleic anhydride copolymers. To evaluate competing stabilization characteristics, we explored the dispersing power of a range of maleic anhydride copolymers functionalized with several chromophore units: pyrene, cholesterol and Disperse Red 1. The surface modification of SWNT is straightforward and efficient for making them dispersible in water and in other organic solvents and for producing nanometer-scale materials suitable for nanotechnology, medicinal chemistry and environment friendly solar cell applications.
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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) | 0.000 | 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 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".