Covalent Functionalization of Short, Single-Wall Carbon Nanotubes: Photophysics of 2,4,6-Triphenylpyrylium Attached to the Nanotube Walls
Bibliographic record
Abstract
2,4,6-Triarylpyrylium units (TP + ) have been attached covalently to the walls of short, water-soluble single-wall carbon nanotubes (sSWNT) to give TP-sSWNT sample (6.8 wt % on TP + ). The high loading achieved in this manner has allowed characterization of the material by a wide range of techniques, including AFM (about 1 μm length), thermogravimetric analyses (absence of inorganic particles in the sample), Raman spectroscopy (radial breathing vibration mode at 180 cm −1 ), and solution 1 H NMR spectroscopy (up to 0.5 ppm variation in the δ of the protons upon attachment to the graphene walls). Optical spectroscopy reveals the absence of the van Hove singularities in the TP-sSWNT sample. Fluorescence spectroscopy indicates sSWNT quenching of the otherwise intense TP + emission. Laser flash photolysis has allowed detecting a transient species characterized by a broad absorption from 400 to 700 nm that decays with a fast (<500 ns) and a slow (a few microsecond) kinetics. TP-sSWNT emits NIR luminescence with an estimated 2.3 × 10 −3 quantum yield.
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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".