Decomposition of 2-propanol over vanadium pentoxide and modified vanadium pentoxide catalysts / by David V. Fikis.
Bibliographic record
Abstract
The catalytic decomposition of 2-propanol has been investigated \nin a flow system from 200-300?C on vanadium pentoxide and modified \nvanadium pentoxide catalysts. \nDehydration, dehydrogenation and propane formation were observed \nover the temperature range studied. The propane reaction was predominant \nat higher temperatures. \nKinetic experiments showed the dehydration and dehydrogenation \nreactions to be zero order with respect to all components while the propane- \nforming reaction was found to have a rate order of 0.3 with respect \nto 2-propanol. The kinetics for the reactions were interpreted in terms \nof the Langmuir-Hinshelwood model and elimination type mechanisms have \nbeen proposed to account for the 2-propanol decomposition. \nTrends in activity and activation energies for the dehydration \nreaction have been correlated with the mobility of surface oxygen \npreviously reported in the literature. Some correlations were obtained \nwith activation energies for dehydration reactions in similar systems. \nThe reduction of the catalysts used, as indicated by changes \nin surface area and X-ray powder diffraction patterns, has been related \nto oxygen mobility and to the surface 'Tammann* temperature of the \nadditive.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.003 |
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".