Hydrate Nucleation in Water Nanodroplets: Key Factors and Molecular Mechanisms
Bibliographic record
Abstract
Clathrate hydrate nucleation in heterogeneous systems, such as the water-in-oil emulsions found in pipeline environments, is of considerable technological importance and scientific interest. While there has been a number of experimental studies investigating hydrate nucleation in water-in-oil emulsions, there have been essentially no molecular simulations to provide important molecular insights into the hydrate nucleation process. Here, we report extensive molecular dynamics simulations of gas hydrate nucleation to examine nucleation behavior in water nanodroplets immersed in a non-aqueous liquid, probing key factors impacting nucleation, including guest species, guest compositions, size of the nanodroplets, and temperature. The nucleation behavior with pure-guest (i.e., H 2 S, C 3 H 8, and CO 2 ) and H 2 S-containing mixtures, where the second guest species is one of C 3 H 8, CH 4, C 2 H 6, and CO 2, has been studied. For the various systems examined in this study, we find that H 2 S always tends to initiate hydrate formation, with the only exception being the H 2 S/CO 2 mixture, where the relatively high solubility of H 2 S compared to the other guest species is identified as an important factor for the current systems. Three different sizes of water nanodroplets at different temperatures are used to examine hydrate nucleation with pure-H 2 S guest systems, where the observed mechanism of hydrate nucleation within nanodroplets exhibits behavior similar to that found in bulk counterparts. Within water nanodroplets, the hydrate nucleation process features the initial formation of amorphous solids, which can then be annealed into more recognizable hydrate-like structures. Detailed cage analyses provide insights into the impacts of temperature and the size of the water nanodroplet on the initial location and the induction time of hydrate nucleation. Our simulations improve the understanding of the molecular mechanism of clathrate hydrate nucleation in water-in-oil emulsions, thus helping the development of hydrate-related applications and exploitation.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".