Heat and mass transfer across the vapor–liquid interface: A comparison of molecular dynamics and the Enskog–Vlasov kinetic model
Bibliographic record
Abstract
Due to the intricacies of the interface between vapor and liquid, evaporation and condensation processes are not fully understood. The small spatial extent of the interface renders experimental studies on this subject challenging so that computational investigations are indispensable. For two heat and mass transfer scenarios across a vapor–liquid interface, molecular dynamics simulation is compared with the direct simulation Monte Carlo solution of the Enskog–Vlasov kinetic equation . A heat flux from the vapor to the liquid in a closed system as well as classical evaporation into an open half-space are considered. In both scenarios, temperature and one-dimensional driving gradients are widely varied, sampling systems containing 5 ⋅ 1 0 5 molecules. Since the two simulation methods rest on different potential models for the molecular interactions , a meaningful transformation between the truncated and shifted Lennard-Jones fluid and the Sutherland fluid is proposed. Spatially resolved density, temperature and velocity profiles from these simulation methods are consistent, except for the interface width. Consequently, particle flux and downstream pressure match as well. The good agreement between the results reinforces the validity of these approaches. The study is accompanied by successful comparisons of these simulations to kinetic gas theory with respect to macroscopic property variations at the interface.
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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".