Effect of Molecular Symmetry on the Self-Assembly Behavior of AB<sub>2</sub> Linear–Branched Block Copolymers
Bibliographic record
Abstract
The architecture of a block copolymer plays a pivotal role in tailoring its self-assembly behavior. In this work, discrete AB 2 linear–branched block copolymer isomers with identical chemical structures but varying molecular symmetry were prepared and studied. Comparing to AB linear diblock copolymers, linear–branched AB 2 counterparts exhibit significantly different assembly behaviors, which can be further regulated by adjusting the relative chain length of two B branches. A minor difference in the chain lengths of the B blocks results in an expansion in domain sizes and enhanced phase stability, while a larger asymmetry triggers phase transitions from a cylindrical structure to various spherical phases. The synergistic effects of the long and short B blocks effectively alleviate packing frustration, leading to a nonmonotonic deflection of the spherical/cylindrical phase boundary. The unique phase behaviors were substantiated by a self-consistent field theory study. This work demonstrates the feasibility and robustness of tailoring assembly behaviors by rational manipulation of chain architecture, providing insights into the underlying mechanism that stabilizes unconventional spherical phases.
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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) | 0.001 | 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".