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
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
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.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 it