Directly grown large area single-walled carbon nanotube films with very high sensitivity to normal pressure
Bibliographic record
Abstract
Induction thermal plasma was used to grow a large area, ∼150 mm × 450 mm, and ∼1000 μm thick multi-layered carbon nanotube film. The film is made of a loosely woven structure of single-walled carbon nanotubes uniformly distributed among metallic impurities and carbon black particles. Under cyclic compressive strain, the film acts as a viscoelastic material. A model based on tunneling conduction was used to describe its high piezoresistive sensitivity to normal pressure. The gauge factor obtained for this film was 76.3, more than 20 times higher than the values achieved with a standard buckypaper made from the same nanotube source. This fast and straightforward approach for synthesizing pressure sensitive films is done directly inside the processing system during the growth of the carbon nanotubes. It could provide the means for producing low cost large-scale sensors, such as smart materials for civil and mechanical structures.
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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".