Synergistic Impact of Intra- and Interchain Dispersity on Block Copolymer Self-Assembly
Bibliographic record
Abstract
The effect of chain length dispersity on self-assembly behaviors of block copolymers was quantitatively investigated. Two sets of binary blends with precisely controlled compositions were prepared by mixing A-homopolymers into AB 2 linear-branched block copolymers, where the two B branches were of either equal or unequal lengths. The added A-homopolymers swell the corona A domain, resulting in a generic phase transition sequence as the volume fraction varies. The distribution of the A-homopolymers depends critically on their length relative to that of the A-block of the copolymers. Longer homopolymers tend to localize at the vertices of the Voronoi cells, while shorter ones distribute more evenly in the corona domain. While blends consisting of A-homopolymers and symmetric linear-branched block copolymers exhibit exclusively the cylindrical phase, the addition of A-homopolymers to asymmetric counterparts leads to a richer array of ordered structures, including the Frank–Kasper phases, quasicrystalline phases, and the hexagonally close-packed phase. The combination of architectural asymmetry in the core (intrachain dispersity) and the presence of A-homopolymers in the corona (interchain dispersity) synergistically stabilizes these exotic structures, which could not be achieved when these two effects were present individually.
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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".