Effect of Percolation on Electrical Conductivity in a Carbon Nanotube-Based Film Radiation Sensor
Bibliographic record
Abstract
Devices based on carbon nanotube (CNT) films offer advantages over devices based on single CNT due to their ease of manufacture, good reproducibility, and high efficiency. A good understanding on percolation properties of CNT films is essential in the design of CNT-based film devices. In this paper, the effect of percolation on electrical conductivity in a CNT-based film radiation sensor was studied. CNT films with different densities were prepared to find the relationship between the film conductivity and the CNT density in the film. The effect of CNTs' length on the critical density of the film was also discussed based on percolation theory. The average length of CNTs determines the critical density of the film and in turn governs the film conductivity. For the CNT-based film radiation sensor, larger responses were achieved when the CNT film was prepared with 3 layers of CNTs. In general, it is expected that by using the unique properties of CNT films within the percolation region, devices based on such films can achieve superior performances.
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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 | 0.002 |
| 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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".