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)
Bibliographic record
Abstract
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 m 2 /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.
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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 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".