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Record W3176649965 · doi:10.1021/acs.jced.1c00166

Measurements of the Molecular Diffusion Coefficient of Dimethyl Ether in Water at <i>T</i> = (313.15–373.15 K) and <i>P</i> = (0.69–2.76 MPa)

2021· article· en· W3176649965 on OpenAlexafffund
Mohammad Khalifi, Mohsen Zirrahi, Hassan Hassanzadeh, Jalal Abedi

Bibliographic record

VenueJournal of Chemical & Engineering Data · 2021
Typearticle
Languageen
FieldEngineering
TopicPhase Equilibria and Thermodynamics
Canadian institutionsUniversity of Calgary
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsThermal diffusivityDimethyl etherDiffusionAnalytical Chemistry (journal)EtherThermodynamicsMass transferChemistryMaterials scienceMass diffusivityChromatographyOrganic chemistryMethanol

Abstract

fetched live from OpenAlex

We report the first experimentally measured dataset on the molecular diffusion coefficient of dimethyl ether (DME) in water, at test temperatures ranging from 313.15 to 373.15 K and pressures ranging from 0.69 to 2.76 MPa. A new experimental setup was designed, fabricated, and validated based on the principle of constant-pressure diffusivity measurement. The sensitive pressure control system adopted in this study and the novel arrangement of the test fluids resulted in a highly accurate and precise experimental setup for measuring the diffusivity of low-soluble gases in liquids. The results indicate that the molecular diffusivity values are in the range of ∼0.9–4.3 × 10–9 m2/s, depending on the test conditions. The measured data find applications in the performance prediction studies of processes involving mass transfer between DME and water, such as wet extraction, direct DME fuel cells, and DME-aided oil recovery processes.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.037
Threshold uncertainty score0.456

Codex and Gemma teacher scores by category

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)0.0000.000

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 head0.015
GPT teacher head0.217
Teacher spread0.202 · 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 teacher head, 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

Citations14
Published2021
Admission routes2
Has abstractyes

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