Osmotic Interactions, Rheology, and Arrested Phase Separation of Star–Linear Polymer Mixtures
Bibliographic record
Abstract
Starting from a glassy suspension of star polymers in molecular solvent, we add linear homopolymer with a fixed size ratio and ever increasing concentration, hence diluting the glass and eventually approaching the regime of stars in polymer matrix. We show that we can quantitatively decompose the rheology of the mixtures into colloidal star and linear polymer contributions by accounting for the osmotic shrinkage of the stars due to the added polymers. We also estimate the effective star overlap concentration in the mixtures and show how the rheological properties change at the crossover concentration, where the number of star-particle contacts decreases and the star repulsions weaken and eventually become attractive upon increasing the linear polymer concentration. The attraction is accompanied by a phase separation, pointing to the presence of unstable regions in the star/linear polymer phase diagram, where gelation results from an arrested phase separation. The crossover concentration is also probed by nonlinear rheological measurements. These findings are of generic nature for soft colloidal mixtures and suggest guidelines for tailoring their rheology and phase/state behavior.
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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) | 0.001 | 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 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".