Revealing the influence of temperature on benzene oxidation by palladium oxide via ReaxFF molecular dynamics simulations
Bibliographic record
Abstract
For catalytic reactions, temperature has a great influence on reaction rate and reaction mechanism. The oxidation processes of soot precursors (C6H6) at different temperatures are simulated using reactive force field molecular dynamics to investigate the effect of temperature on the oxidation process. The reaction products at different temperatures and the effect of temperature are discussed. The results show that the intermediate species C3 and C4 are more and existed longer at 1400 K than at 2000 K, while hardly existed at 2000 K, indicating that as the temperature increases, the oxidation reaction takes place more completely and the products formed are more stable. The effect of temperature on the oxidation mechanism is then explored; the results show that the main reaction pathway at 1400 K is basically the same as that at 2000 K, while the final product contains less hydrogen and more oxygen atoms at 2000 K. The C6 components with two, three, and four oxygen atoms are found easier to be decomposed at both 1400 and 2000 K. It shows that temperature mainly affects the catalytic reaction process by affecting the hydrogen and oxygen content of the decomposed C6 component. This may be helpful to understand the effect of temperature on the C6H6 oxidation from the perspective of basic research.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".