Functionalization of polyfluorene‐wrapped carbon nanotubes using thermally cleavable side‐chains
Why this work is in the frame
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Bibliographic record
Abstract
Abstract The length and nature of side‐chains in conjugated polymer‐wrapped carbon nanotubes can impact their conductivity. We investigate functionalization of polyfluorene‐single‐walled carbon nanotubes (SWNT's) using cleavable side‐chains that are removable post‐processing. The triethylene glycol side‐chains contain a thermally cleavable carbonate linker. Upon heating the films to 170 °C, the conductivity increased, reaching a plateau of (2.0 ± 0.1) × 10 −2 S/m after 16 h, compared to (1.0 ± 0.2) × 10 −3 S/m for the control sample. UV–Vis–near‐infrared (NIR) and Raman spectroscopy show well‐dispersed SWNT samples and confirm that the heating treatment did not damage the nanotubes. Functionalization using longer polyethylene glycol side‐chains was also investigated. After heating, cleavage of the longer chains resulted in conductivity of (8.2 ± 1.6) × 10 −4 S/m compared to (8.1 ± 1.4) × 10 −5 S/m for the control. UV–Vis–NIR and Raman spectroscopy showed well‐dispersed SWNT samples and confirmed that the nanotubes were not damaged. Finally, we investigate dispersions in triethylene glycol monomethyl ether and tetraethylene glycol dimethyl ether, generally deemed “green” solvents. Polymer‐SWNT complexes functionalized with shorter side‐chains did not form stable dispersions, resulting in precipitation of the nanotubes upon standing for a few minutes after the removal of tetrahydrofuran, while complexes functionalized with longer side‐chains formed stable dispersions.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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 it