Chain Overcrowding Induced Phase Separation and Hierarchical Structure Formation in Fluorinated Polyhedral Oligomeric Silsesquioxane (FPOSS)-Based Giant Surfactants
Bibliographic record
Abstract
The self-assembly behaviors of fluorinated polyhedral oligomeric silsesquioxane (FPOSS)-based giant surfactants, consisting of an FPOSS cage and a polystyrene- block -poly(ethylene oxide) (PS- b -PEO) diblock copolymer tail, are studied in the bulk. The tethering point of the FPOSS cage on the PS- b -PEO diblock copolymer chain can be controlled precisely either at the end of the PS block or the junction point between the PS and PEO blocks, resulting in topological isomer pairs with almost identical chemical compositions but different architectures. Phase separation between the FPOSS head and the block copolymer tail creates a spatially confined environment for the PS- b -PEO component, which are uniformly end- or junction-point-immobilized on the FPOSS layer, providing a unique model system to study phase behaviors and chain conformation of tethered diblock copolymer in the condensed state. The polymer tails are highly stretched because the cross-sectional area of FPOSS head is smaller than that of the unperturbed block copolymer tail, which facilitates further phase separation between the low molecular weight PS and PEO blocks and leads to the formation of hierarchical lamellar structures among three mutually immiscible components.
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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".