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Record W3095034747 · doi:10.1021/acs.jpcc.0c07375

Molecular Insights into Guest and Composition Dependence of Mixed Hydrate Nucleation

2020· article· en· W3095034747 on OpenAlexafffund
Zhengcai Zhang, Guang‐Jun Guo, Nengyou Wu, Peter G. Kusalik

Bibliographic record

VenueThe Journal of Physical Chemistry C · 2020
Typearticle
Languageen
FieldEnvironmental Science
TopicMethane Hydrates and Related Phenomena
Canadian institutionsUniversity of Calgary
FundersChinese Academy of Sciences Key ProjectNatural Sciences and Engineering Research Council of CanadaNational Natural Science Foundation of China
KeywordsNucleationHydrateClathrate hydrateChemical physicsMethaneMoleculeChemistryMolecular dynamicsNatural gasCluster (spacecraft)KineticsCrystallographyChemical engineeringThermodynamicsPhysical chemistryComputational chemistryOrganic chemistryPhysics

Abstract

fetched live from OpenAlex

Abstract Multicomponent crystals, for which natural gas hydrates are important examples, have drawn considerable attention because of their scientific and industrial importance. By performing large-scale molecular dynamics simulations on hydrate nucleation of several common natural gases (CH4, C2H6, C3H8, and H2S) and their mixtures, we aim to elucidate the roles of gas molecules and their compositions on mixed hydrate nucleation. We find that at a fixed temperature and solution composition, the induction time (τ) sequence for pure guest hydrate nucleation is τ­(C2H6) < τ­(C3H8) < τ­(CH4) < τ­(H2S). A relatively small number of guest molecules with a shorter induction time for pure guest hydrate nucleation can promote the formation of initial nuclei of a mixed hydrate. Detailed cage analysis shows that small guests such as CH4 can induce the formation of more standard cages for mixture systems with either C2H6 or C3H8 systems, thereby reducing the formation of nonstandard cages and impacting the nucleation kinetics. Enrichment of CH4 in the nucleated cluster of C2H6/CH4 and C3H8/CH4 mixed hydrates was also observed. Four cage type subsets, i.e., 5126a, 415106b, 42586c, and 43566d (with a ranging from 0, 2, 3, 4; b from 2 to 6; c from 0 to 6; and d from 0 to 6) are identified as dominating the complete-cage populations for the hydrates formed in this study. Moreover, four-membered water rings appear to play an increasingly larger role in nucleated clusters as the size of guest molecules becomes larger.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.006
GPT teacher head0.202
Teacher spread0.196 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations36
Published2020
Admission routes2
Has abstractyes

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