Leidenfrost effect in the flash vaporization of hydrogen peroxide and water mixtures
Bibliographic record
Abstract
The Leidenfrost effect, a phenomenon where a droplet levitates on a heated surface due to rapid vaporization, has been extensively studied with various liquids. However, the behavior of binary mixtures, specifically those involving hydrogen peroxide (H2O2) and water, remains relatively unexplored. This study investigates such mixtures, focusing on the ejection dynamics of secondary droplets under different temperatures and solution concentrations. High-speed imaging is used to capture the evolution of droplets upon impacting a hot surface. The results reveal a significant increase in droplet fragmentation and ejection with increasing temperature and hydrogen peroxide concentration. Droplet ejection volume increased by a factor of 2.5 when the temperature was 60 °C over the Leidenfrost point, while it increased by a factor of 1.7 when comparing a solution of 10% wt. H2O2 up to a concentration of 50%. A comprehensive analysis of the observed phenomena is proposed. The impact of hydrogen peroxide's thermal decomposition on systems such as H2O2 vapor decontamination enclosures is revealed. The main difficulty in obtaining highly concentrated H2O2 gas is attributed to the Leidenfrost effect ejecting secondary droplets.
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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".