Effects of Chain Dispersity on the Stability of Frank–Kasper Phases Self‐Assembled from Diblock Copolymers
Bibliographic record
Abstract
Abstract The effect of chain dispersity on the relative stability of Frank–Kasper (FK) phases self‐assembled from diblock copolymers (DBCPs) is studied using self‐consistent field theory applied to DBCPs with one disperse block obeying the Poisson or Schulz–Zimm distributions. The results demonstrate that the chain dispersity enhances the relative stability of the FK phases. For DBCPs with small conformational asymmetry, the FK phase can be stabilized by dispersity and the stability window of the FK phases widens with the increase of dispersity. For DBCPs with large conformational asymmetry, the Laves C14 and C15 phases, which are metastable in monodisperse DBCPs, can be stabilized by dispersity. An analysis of the spatial organization of polymers reveals that the enhanced stability of the FK phases originated from intra‐ and inter‐domain segregation of chains with different lengths.
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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".