Spontaneous and Light-Driven Conversion of NO<sub><i>x</i></sub> on Oxide-Modified TiO<sub>2</sub> Surfaces
Bibliographic record
Abstract
Heterogeneous reactions of trace atmospheric gases on solid surfaces play an important role in atmospheric chemistry. In this study, we investigate the reaction of NO 2 with solid surfaces of TiO 2 covered with a thin layer of an alumina–silica mixture over a range of different compositions. The reactions were conducted in the presence of oxygen under dark or ultraviolet light (UV) illumination conditions. The results show that coating TiO 2 with alumina–silica greatly affects the formation of gas-phase products NO and N 2 O both with or without illumination using UV light. A thick shell of alumina–silica enhances the formation of NO in the dark, whereas adding a small amount of alumina on the surface of rutile TiO 2 significantly enhances the conversion of NO 2 to NO under UV illumination. Overall rates of conversion (on the order of mg/m 2 paint/year) suggest that these materials shoud have negligible impact on NO x levels in the environment.
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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) | 0.001 | 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".