Growth Kinetics in a Large-Bore Vertically Aligned Carbon Nanotube Film Deposition Process
Bibliographic record
Abstract
Vertically aligned films of multiwalled carbon nanotubes (VACNT) are synthesized in a large-bore chemical vapor deposition reactor by employing a Cr−Ni−Fe thin film catalyst stack predeposited on substrates. The kinetics of the growth process is studied by measuring the VACNT film thickness, the resistivity (indicative of the density), and the distribution of carbon nanotube (CNT) diameters as a function of pregrowth catalyst treatment time, growth time, and growth temperature. It is found that pregrowth treatment times of about 210 min are needed before reaching steady-state catalyst conditions. Shorter pregrowth treatment times produce a thicker but less dense film. The CNT diameters are only weakly affected by the pregrowth treatment time (for at least greater than 30 min.). A model is proposed to explain these results. The kinetics of the film growth are studied as a function of growth time and temperature under steady-state catalyst conditions. The CNT film thickness is well fit by the kinetic model H = βτ(1 − e − t /τ ) at temperatures between 625 and 750 °C, with a growth rate decay time τ of about 20 ± 5 min. The initial growth rate β peaks at 1.1 μm/min at 650 °C.
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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) | 0.000 | 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 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".