Electrical Permittivity and Electrical Conductivity of Multiwall Carbon Nanotube‐Polyaniline (MWCNT‐PANi) Core‐Shell Nanofibers and MWCNT‐PANi/polystyrene Composites
Bibliographic record
Abstract
In situ polymerization of aniline monomers in the presence of multiwall carbon nanotubes (MWCNTs) leads to core–shell nanostructures for use in conductive polymer composites. The conductivity of core–shell nanofibers can be tuned by altering coating thickness. These high‐aspect‐ratio MWCNT‐polyaniline core–shell nanofibers are dispersed in polystyrene (PS) using solution mixing. These composites exhibit electrical percolation at a much lower concentration than MWCNT/PS composites. Polyaniline (PANi), when used as a coating layer, is able to attenuate electromagnetic (EM) waves via absorption. The dielectric measurements of MWCNT‐PANi/PS composites show one order of magnitude increase in real electrical permittivity compared with that of MWCNT/PS composites, making them suitable for charge storage purposes.
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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".