Temperature-Controlled Gas Hydrate Nucleation in the Heterogeneous Environment
Bibliographic record
Abstract
Nucleation of multicomponent systems is a pervasive phenomenon in nature and is pertinent to a diverse array of scientific and industrial challenges. The nucleation mechanisms of immiscible multicomponent systems remain unclear. Here, gas hydrate is employed as a model system to study the nucleation of multicomponent systems. The effect of gas/liquid and solid/liquid interfaces on hydrate nucleation is examined through molecular dynamics simulations. The results demonstrate that gas hydrates tend to nucleate in the solution phase in the proximity of the gas/liquid interface at lower temperatures, which is controlled by mass transfer. As the temperature increases, the location of hydrate nucleation gradually shifts from the gas/liquid interface to the solid/liquid interface. We anticipate that the nucleation free energy barrier dominates the hydrate nucleation process at these conditions, making the heterogeneous nucleation with a lower free energy barrier more probable. The findings provide molecular insights into the mechanism and pathway underlying interface-induced gas hydrate nucleation. These insights will inform the development of the theory of gas hydrate nucleation, particularly in the context of heterogeneous nucleation.
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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) | 0.000 | 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) | 0.001 | 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".