Superior Thermal Stability and High Photocatalytic Activity of Titanium Dioxide Nanocatalysts in Carbon Nanotubes
Bibliographic record
Abstract
TiO 2 anatase, which exhibits the highest catalytic performance, transforms to rutile at 800 K. To inhibit the transition of anatase to rutile, several strategies, such as metal and/or non-metal doping, oxygen enrichment, and surface coating, have been studied, resulting in stable anatase within 773–1273 K. However, highly stable anatase without dopants is still required. Here, a new approach, which involves the synthesis of anatase nanocatalysts in carbon nanotubes (CNTs), was proposed to inhibit the anatase-to-rutile transition. The nanocatalysts exhibited high thermal anatase stability along with a suppression of the crystal growth up to 1200 K. The highly stable anatase in CNTs also exhibited high photocatalytic activity, which was evaluated based on methylene blue decomposition under visible- and UV-light irradiation. This was attributed to the maintenance of the small crystal size of the nanocatalysts in addition to a synergetic effect between the TiO 2 nanocatalysts and CNTs.
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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".