Fischer–Tropsch synthesis over alumina-supported cobalt catalysts: effects of different spray temperature of aluminum slurry
Bibliographic record
Abstract
Aluminum slurry was obtained by precipitating Al(NO3)3·9H2O and ammonium carbonate, and the slurry was dried by adopting spray means. The effects of different spray temperature on the as-synthesised aluminum precursors, calcined alumina, and the supported cobalt catalysts were investigated by the characterizations of SEM, XRD, TG-DTA, H2-TPD, H2-TPR, etc., and the activity and stability of the as-prepared catalysts for Fischer–Tropsch synthesis were also studied. It indicated that the aluminum precursor spray dried at 250 °C exhibited homogeneous microspheres, the calcined alumina exhibited single-particle size distribution and monomodal pore distribution, and the corresponding supported cobalt catalyst possessed proper cobalt particles (6.4 nm), which was benefitial for acquiring a high conversion rate (the turnover frequency is 17.2 × 10−3/s) and excellent stability (the deactivation rate is 0.31%) for Fischer–Tropsch synthesis.
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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".