Palladium Supported on Carbon Nanotubes for Methane Catalytic Oxidation
Bibliographic record
Abstract
Abstract A series of palladium/multi‐walled carbon nanotube (Pd/MWCNT) catalysts were prepared for the total oxidation of methane. Their morphologies, thermal stabilities and redox properties were investigated using different analytical techniques. Their textural properties were also measured by the Brunauer‐Emmett‐Teller method. On this basis, the catalytic behaviors were tailored by pretreating with mixed acid solutions and changing the MWCNT diameters. The results show that higher MWCNT diameters improved the Pd dispersion and enhanced the catalytic properties of the Pd/MWCNT. A proper ratio of HNO3 to H2SO4 can provide moderately active sites such as oxygen‐containing groups (OCG) and defects, on which the Pd precursor can be attached or anchored. Excessive H2SO4 will deteriorate the carbon framework and lower the frequency of OCG decorated on the outer surface of the MWCNT. As a result, the activity of the Pd/MWCNT catalysts for methane oxidation is suppressed.
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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".