Hydrogenation of Carbon Monoxide and Carbon Dioxide over Nano γ-Alumina Supported Cobalt (III)/Molybdenum Catalyst
Bibliographic record
Abstract
Ligated dicobalt (III) heptamolybdate (CoL6)2(Mo7O24) multitransition-metal complex was prepared. This complex was deposited evenly on nano γ-alumina catalyst support. The partial reduction of cobalt (III)/ molybdate pre-catalyst was performed in a batch reactor with hydrogen gas at a pressure of 20 bars and temperature of 873oK for 5 hours. The catalyst was characterized using FTIR, XRD, BET and TEM. The nano cobalt (III)/molybdenum catalyst was employed for hydrogenation reaction of carbon monoxide and carbon dioxide. The assessment of the catalyst was carried out at different temperature over a pressure range of 10-50 bars with various H2/CO ratios. This catalyst was found to be active, and stable for usage at high temperature and moderate pressure. The catalyst gave an excellent conversion of carbon monoxide to hydrocarbons (95%); it also converted 78% of carbon dioxide to carbon monoxide (73) and methane (5%). TEM image demonstrated catalyst has nearly spherical morphology with the average particle size of 46.86 nm.Keywords: complex, carbon monoxide, Carbon dioxide, multitransition-metal, surface modified nano catalyst
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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".