Kinetics of low‐temperature Fischer‐Tropsch synthesis on cobalt catalysts: Are both slurry autoclave and tubular packed‐bed reactors adequate to collect relevant data at lab‐scale?
Bibliographic record
Abstract
Abstract To verify the equivalence of kinetic data obtained in lab‐scale packed‐bed and slurry reactors for low‐temperature Fischer‐Tropsch synthesis over cobalt‐based catalysts, the same Co/γ‐Al2O3 catalyst was tested in both reactors, studying the effects of the process conditions (temperature, pressure, syngas composition, gas space velocity) on CO conversion rate and on product distribution. Then, both a lumped CO conversion rate equation and detailed kinetics (i.e. describing the rates of reactants conversion and product formation) were developed based on the data collected in the packed‐bed tubular reactor. The two models were finally used to simulate the performance of the slurry autoclave. By describing the slurry autoclave as a continuous stirred tank reactor and the packed‐bed as plug‐flow reactor, the kinetic information collected with the two reactors is fully equivalent and can be used indiscriminately to describe the rates of reactant consumption and product formation.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".