Experimental and kinetics study on oxidation of three‐component in supercritical water
Bibliographic record
Abstract
ABSTRACT The supercritical water oxidation of a methanol, acetic acid, and phenol mixture was investigated in this study. The experimental design was accomplished by means of response surface methodology. 16 experimental runs were performed in a continuous tubular reactor. Quadratic polynomial equations with a satisfactory data fit and accuracy were established on the basis of the experimental results. The calculation results demonstrate the promotion behaviour of methanol, the inhibition behaviour of acetic acid, and the positive effect of phenol on the supercritical water oxidation of the ternary mixture. The interactive effect of the mechanism was characterized by means of the computational simulation with the mechanism‐based kinetic model. It seems that the positive influence of methanol was derived from the co‐oxidation effect of the methanol in the destruction of both acetic acid and phenol. The oxidation of acetic acid was restrained in the mixture system, which is attributed to the more favourable radical capture for phenol, and, thus, the overall disappearance kinetics was retarded with the addition of acetic acid. Finally, the co‐oxidation enhancement of both methanol and acetic acid related to phenol oxidation in supercritical water contributed to the positive effect of phenol on mixture oxidation efficiencies.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 teacher head, 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".