Highly transparent and conductive carbon nanotube coatings deposited on flexible polymer substrate by solution method
Bibliographic record
Abstract
Transparent single-walled carbon nanotubes (SWCNT) based flexible conductive coatings have found great application potentials in flexible displays and solar cells. In this paper we report a simple method for the fabrication of this type of conductive coatings. By using plasma treatment of the flexible polymer substrates, the fabrication of SWCNT flexible coating can be easily achieved through a simple dip coating process. Initial results show that one-dip yields a sheet resistance of 128 ¿/¿ and film transmission of more than 90% at the wavelength of 550 nm, while two-dip produces a coating with a sheet resistance of 75 ¿/¿ and transmission of more than 80% at the wavelength of 550 nm. The performances achieved are comparable to those of the ITO coatings and significantly better than those reported in the literature for the SWCNT coatings produced by using similar methods.
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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) | 0.001 | 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 | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".