Supramolecular Functionalization of Single-Walled Carbon Nanotubes (SWNTs) with Dithieno[3,2-<i>b</i>:2′,3′-<i>d</i>]pyrrole (DTP) Containing Conjugated Polymers
Bibliographic record
Abstract
Fluorene and dithieno[3,2- b:2′,3′- d ]pyrrole (DTP) containing conjugated polymers, {2,7-[9,9-didodecylfluorene]- alt -2,6-[ N -dodecyldithieno(3,2- b:2′,3′- d )pyrrole]} (PF-DTP1) and {2,7-[9,9-didodecylfluorene]- alt -2,6-[ N -3,4,5( n -dodecyloxy)phenyldithieno(3,2- b:2′,3′- d )pyrrole]} (PF-DTP2), have been successfully synthesized using Suzuki polycondensation. These polymers possess excellent thermal stability with decomposition temperatures over 365 °C under Ar. The introduction of soluble side chains on the DTP units and incorporation with soluble dialkyl-substituted fluorene resulted in highly soluble polymers with novel optoelectronic properties. The supramolecular complex formation of these DTP containing polymers with single-walled carbon nanotubes (SWNTs) has been studied, and it was found that these polymers can form strong supramolecular polymer–nanotube assemblies and produce stable complexes in solution. UV–vis–NIR absorption, photoluminescence excitation (PLE), and Raman spectroscopy were used for the characterization and identification of the nanotube species that are present in THF solution. The strong nanotube emission was observed from individual SWNTs even after removal of excess free polymer by filtration and washing. On the basis of these two polymers, it was found that the interactions with the SWNT surface are more strongly dictated by the polymer backbone than the side chain, though further studies may be warranted.
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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".