Ion interactions with carbon nanotubes in dielectric media
Bibliographic record
Abstract
We extend the two-fluid, two-dimensional hydrodynamic model, describing the collective response of a multiwalled carbon nanotube, to include solid dielectric media embedded inside, or surrounding the nanotube. In the case of aluminum, we study plasmon hybridization in the UV range and find that the nanotube's low-energy, quasiacoustic $\ensuremath{\pi}$ plasmons are remarkably stable, whereas the shift of the high-energy $\ensuremath{\sigma}+\ensuremath{\pi}$ plasmons strongly depends on the gap between the nanotube and the aluminum boundary. Moreover, we study the stopping force on fast ions moving inside nanotubes encapsulated in channels of insulating, amorphous carbon, and metallic materials, with special attention paid to nickel. Finally, our study of the dynamical image potential for fast ions shows that a nanotube will effectively shield the influence of an embedded nickel wire.
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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 | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 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".