Moderating the Reactivity of Living Anionic Poly(ferrocenyldimethylsilane) with a Diphenylethylene Chain End: Synthesis and Characterization of Polystyrene−Polyferrocenylsilane Graft Copolymers
Bibliographic record
Abstract
The synthesis and characterization of poly(styrene- g -ferrocenyldimethylsilane), the first organic−organometallic graft copolymer, are reported. This was permitted by the discovery that 1,1-diphenylethylene (DPE) can effectively cap the living anionic polyferrocenylsilane generated by the ring-opening polymerization (ROP) of the dimethyl-substituted [1]ferrocenophane 1 using n -BuLi as the initiator. The resultant living DPE-capped polymer was then reacted with the chloromethyl functionalities of poly(styrene- co -chloromethylstyrene) (PS- co -PCMS) ( 3 ) to afford the polystyrene−polyferrocenylsilane graft copolymers 5a and 5b . These graft copolymers were then analyzed using differential scanning calorimetry and wide-angle X-ray scattering which indicated that the materials are essentially amorphous, with at most a very low degree of crystallinity. Cyclic voltammetry of 5b in CH 2 Cl 2 showed a well-resolved wave voltammogram with a redox coupling Δ E of ca. 0.23 V, characteristic of the presence of significant Fe- - -Fe interactions in the grafted organometallic side chains. Polymer 5b was also characterized by thermogravimetric analysis which indicated that the material is thermally stable to weight loss up to ca. 300 °C.
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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".