Effect of Polydispersity on the Formation of Vesicles from Amphiphilic Diblock Copolymers
Bibliographic record
Abstract
Using a continuous chain length distribution, the effect of polydispersity on the structures of vesicles self-assembled by amphiphilic polydisperse diblock copolymers in dilute solutions is investigated by two-dimensional (2D) real-space self-consistent-field theory. It is discovered that larger polydispersity favors the formation of smaller vesicles or quasi-vesicles. This polydispersity effect can be attributed to the segregation of copolymers according to their chain lengths. Two types of chain segregations are observed. First of all, the shorter chains tend to localize at the A/B interfaces while the longer chains tend to stretch to the outer surfaces. Second, there is a separation of copolymers to the inner and outer monolayers of the bilayers, leading to a longer average chain length in outer monolayer.
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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 | 0.001 |
| 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 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".