Polymer-Functionalized Carbon Nanotubes Investigated by Solid-State Nuclear Magnetic Resonance and Scanning Tunneling Microscopy
Bibliographic record
Abstract
Carbon nanotubes are an intriguing new form of carbon, comprising molecular-scale cylinders of nanometer diameter and micrometer to centimeter lengths. They exhibit many extraordinary mechanical and electrical properties and have a wide variety of anticipated applications. However, to realize these potential applications, chemists need to develop means by which to manipulate these nanotubes in a predictable and controllable way. Novel sidewall-modified carbon nanotubes functionalized with polymers, such as poly(methyl methacrylate) (PMMA), have been prepared to gain control over the properties of nanocomposites on the molecular level. Characterization of these materials has been limited by their insolubility in organic solvents. Here the interaction between the carbon nanotube and the polymer has been studied through the use of solid-state nuclear magnetic resonance (NMR) and scanning tunneling microscopy (STM). Fast magic-angle spinning (30 kHz), to achieve high-resolution 1 H NMR, together with advanced pulse sequences such as 1 H double quantum NMR with the BABA (back-to-back) sequence, and heteronuclear 1 H− 13 C sequences, are used to demonstrate the association of the initiator moieties and polymers with the surface of the nanotubes. The findings are supported by STM data of nanotubes before and after functionalization with the initiator groups.
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How this classification was reachedexpand
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 | 0.000 | 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 teacher head, 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".