Internal Microstructure Dictates Yielding and Flow of Jammed Suspensions and Emulsions
Bibliographic record
Abstract
We propose a microstructural classification of jammed suspensions made of soft, deformable colloids with purely repulsive interactions. Three distinct classes of particles are identified, depending on their ability to accommodate topological constraints upon increasing concentration: emulsions with constant particle volume, noninterpenetrating microgels (without dangling ends), which deswell osmotically, and star polymers, which deswell and interpenetrate. Each class has a specific rheological response in transient and steady-state flows. The transient behavior of emulsion-like systems and noninterpenetrating microgel suspensions is characterized by a single colloidal yielding process, whereas dispersions of star-like particles exhibit both colloidal and polymeric yielding due to their fuzzy microstructure with dangling arms. The flow of emulsions and microgels or stars at relatively low concentrations is characterized by a single process that controls cooperative rearrangements. Deswelling and interpenetration mark a departure from this universality and lead to more complex flow mechanisms. This simple generic description of yielding and flow demonstrates the importance of the microstructure and at the same time serves as a powerful indicator of the internal microstructure of particles.
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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 | 0.000 |
| 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 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".