Self-Assembly of Polymer Nanostructures through Halogen Bonding Interactions of an Iodoperfluoroarene-Functionalized Polystyrene Derivative
Bibliographic record
Abstract
A structurally novel iodoperfluoroarene-substituted polystyrene has been synthesized, and its noncovalent halogen bonding interactions with polymeric Lewis bases have been studied. RAFT polymerization was used to generate halogen bond donating polystyrene derivatives with low dispersities. Coassembly of the halogen bond donor polymer with an amine-functionalized methacrylate block copolymer was achieved using a solvent switching protocol and studied by electron microscopy and dynamic light scattering analysis. The structures obtained include spheres, wormlike structures, and vesicles as well as “inverted” morphologies such as hexagonally packed hoops and bicontinuous structures, which have been challenging to access by conventional assembly methods. The ability to access such inverted structures suggests that complexes generated by noncovalent interactions between complementary macromolecules can display high effective packing parameters, giving rise to behavior that has generally required unconventional macromolecular architectures (e.g., dendrimers, branched, or triblock copolymers). The effects of polymer composition, assembly conditions, and the presence of halogen bond donating small molecules on the outcome of the assembly are discussed, along with NMR and X-ray photoelectron spectroscopy studies of the interpolymer halogen bonding interactions in this system.
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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".