Electrophoretic Deposition of Multi‐Walled Carbon Nanotubes: The Key Role of Plasma Functionalization and Polymerization
Bibliographic record
Abstract
ABSTRACT The electrophoretic deposition of multi‐walled carbon nanotubes (MWCNTs) has been well‐researched; however, preparatory steps lead to MWCNT coating contamination and deposits often have weak adhesion to the substrate. This work targets these two weaknesses. First, MWCNTs were functionalized by nonthermal, radiofrequency plasma, producing oxygenated MWCNTs (O‐MWCNTs), with which water‐based suspensions were prepared. Second, an ethane‐based plasma polymer was applied on the metallic substrate as an interlayer to improve coating adhesion. O‐MWCNT coatings were produced at 5–40 V for 1–60 min. Homogeneous coatings with thicknesses up to 10 µm were achieved, the composition was 90‐95 at% carbon with the balance element being oxygen, and coating adhesion without damage was confirmed for shear stresses up to 16 Pa.
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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".