Phase boundary calculations for solutions of a polydisperse polymer
Bibliographic record
Abstract
Abstract A technique is described for performing phase boundary calculations (cloud‐point calculations) for solutions of a polydisperse polymer in a solvent component. The polymer is characterized as a potentially large number of individual components. The technique employs the Newton method for solving the nonlinear equilibrium equations. The independent variables in the equations are logarithms of the equilibrium ratios, temperature and pressure, and the mass ratio of polymer to solvent. A number of cloud‐point curves were calculated using the Sanchez–Lacombe equation as the thermodynamic model. The calculations were compared with experimental data for polyethylene (M W = 177,000 and M N = 8,000) with n‐hexane and polyethylene (M W = 99,000 and M N = 56,000) with ethylene. As expected, the disperse nature of the polymer significantly affected the calculated phase behavior of the polymer–solvent mixtures. Complicating features in the calculations are discussed.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".