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Record W2792610713 · doi:10.1021/acs.jpcc.8b00842

Molecular Insight into the Growth of Hydrogen and Methane Binary Hydrates

2018· article· en· W2792610713 on OpenAlexafffund
Zhengcai Zhang, Peter G. Kusalik, Guang‐Jun Guo

Bibliographic record

VenueThe Journal of Physical Chemistry C · 2018
Typearticle
Languageen
FieldEnvironmental Science
TopicMethane Hydrates and Related Phenomena
Canadian institutionsUniversity of Calgary
FundersChina Scholarship CouncilChinese Academy of SciencesNatural Sciences and Engineering Research Council of CanadaNational Natural Science Foundation of China
KeywordsHydrateClathrate hydrateMethaneTetrahydrofuranThermodynamicsChemistryHydrogenBinary numberMolecular dynamicsKinetic energyMaterials scienceComputational chemistryOrganic chemistryPhysics

Abstract

fetched live from OpenAlex

H 2 is considered as the ideal fuel; however, the storage and transportation of H 2 limit its usage. Clathrate hydrates are candidate materials for H 2 storage and transportation. Because of the extreme conditions necessary to stabilize the pure H 2 hydrate, additives are proposed to stabilize a mixed H 2 hydrate. Compared to the widely studied H 2 + tetrahydrofuran binary hydrates, H 2 + CH 4 binary hydrates contain a higher energy density. In this study, we study the growth of H 2 + CH 4 binary hydrates for two sets of temperature and pressure conditions by using molecular dynamics simulations with atomic models. Our results show that CH 4 acts as a thermodynamic promoter for H 2 + CH 4 hydrate formation, while H 2 acts as a kinetic promoter for H 2 + CH 4 hydrate growth at some of our working conditions. We find that there is a maximum growth rate of H 2 + CH 4 binary hydrates at 250 K when the pressure is 50 MPa, and at fixed temperature, the growth rate of H 2 + CH 4 binary hydrates shows a positive correlation with pressure. We also find that adding H 2 in the gas phase, decreasing temperature (not smaller than 240 K), or increasing pressure can dramatically reduce the percentage of empty cages in the grown hydrate. Moreover, with increasing temperature, the occupancy of 5 12 and 5 12 6 4 cages by H 2 decreases, and inversely, the occupancy of cages by CH 4 increases when the temperature is above 240 K. With increasing pressure, there is an increase in the percentage of 5 12 cages occupied by H 2, where the ratio of H 2 and CH 4 occupied cages in the grown hydrate can be 3:1 at 250 K and 80 MPa. However, the occupancy of 5 12 6 4 cages by H 2 and CH 4 remains relatively constant with increasing pressure. In addition, at our working conditions, 5 12 6 4 cages can be double-occupied by H 2, and several 5 12 6 4 cages can be occupied by H 2 and CH 4 or triple H 2 . Our simulations show that the solubility and diffusivity of guest molecules, especially CH 4, in solution dominate the growth process.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.014

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 studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.005
GPT teacher head0.215
Teacher spread0.210 · 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

Citations55
Published2018
Admission routes2
Has abstractyes

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