Extension of a quartic equation of state to pure polar fluids
Bibliographic record
Abstract
Abstract A new approach of calculating the parameters of a quartic equation of state (EOS) (Yun et al., Fluid Phase Equilibria 187‐188, 275‐298 (2001)) was suggested. The parameters of the EOS were correlated to critical constants as well as dipole moment. And the modified quartic EOS was extended to both polar and non‐polar substances without any substance‐dependent empirical constants which are necessary in the original quartic EOS in calculations of polar substances. To validate the new approach, a list of substances, including polar and non‐polar ones, were calculated. The calculated results of both thermodynamic and volumetric properties were obtained with good accuracy. Une nouvelle approche de calcul des paramètres de l'équation quartique d'état (EQE) a été proposée (Z. Yun et coll., «A new quartic equation of state» Fluid Phase Equilibria. 187–188, 275–298 (2001)). Les paramètres de l'équation d'état ont été mis en corrélation avec les constantes critiques et le moment dipolaire. Les EQE modifiées ont été étendues aux substances polaires et non polaires sans les constantes empiriques inhérentes aux substances, qui sont nécessaires dans les EQE originales de calcul des substances polaires. Afin de valider cette nouvelle approche, plusieurs substances polaires et non polaires ont été calculées. Les résultats obtenus pour les propriétés thermodynamiques et volumétriques étaient d'une bonne précision. © 2011 Canadian Society for Chemical Engineering
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".