Diblock Copolymers with Amorphous Atactic Polyferrocenylsilane Blocks: Synthesis, Characterization, and Self-Assembly of Polystyrene-<i>b</i><i>lock</i>-poly(ferrocenylethylmethylsilane) in the Bulk State
Bibliographic record
Abstract
Living anionic ring-opening (ROP) polymerization of ethylmethylsila[1]ferrocenophane yields atactic poly(ferrocenylethylmethylsilane) (PFEMS) homopolymers with controlled molecular weights ( M n = 4000−41 400) and narrow molecular weight distributions (PDI = 1.01−1.02). A series of well-defined polystyrene- block -poly(ferrocenylethylmethylsilane) (PS- b -PFEMS) diblock copolymers was synthesized from styrene and ethylmethylsila[1]ferrocenophane via sequential anionic polymerization. The iron content was readily varied (PFEMS volume fraction = 0.07−0.68), affording high molecular weight ( M n = 38 700−149 000) iron-rich diblock copolymers with narrow molecular weight distributions (PDI = 1.00−1.07). Both the PFEMS homopolymers and the PS- b -PFEMS diblock copolymers were shown to be amorphous due to the atactic nature of the organometallic block. As a result, PS- b -PFEMS block copolymers readily undergo solid-state self-assembly in the bulk. A spectrum of nanometer-sized iron-rich morphologies has been accessed, and in many cases these arrays were found to be well-ordered over large areas.
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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".