Soluble Polymethacrylates and Polystyrenes Containing Cationic Cyclopentadienyliron Moieties
Bibliographic record
Abstract
Abstract Summary: Cyclopentadienyliron coordinated chloroarenes were utilized to synthesize novel classes of cationic organoiron methacrylate and styrene monomers via metal‐mediated nucleophilic aromatic substitution reactions. These monomers were subsequently polymerized using a radical initiator to produce the corresponding organoiron polymers. Polymerization of olefin‐containing monomers containing terminal chloroarene complexes was also achieved by reaction with dinucleophiles yielding organoiron‐coordinated polyaromatic ethers and ether‐thioethers with pendent methacrylate or styrene moieties. These soluble polymers were subsequently crosslinked with a radical initiator, which resulted in the isolation of insoluble networks. Cyclic voltammetric investigations of these polymers showed that the pendent cationic iron centers underwent reversible reduction. Thermogravimetric analysis showed that the cyclopentadienyliron complexes were cleaved from the polymer backbones at approximately 220 °C, however; depending on the architecture of the polymer backbones, their structural integrities held from 320 to 470 °C. The solubilities of the polymethacrylates were much higher in comparison to polystyrene analogues and had weight average molecular weights between 22 500 and 86 400 with polydispersities ranging from 1.4 to 2.6. The molecular weights of the cationic organoiron polymers prepared via nucleophilic aromatic substitution polymerization ranged from 10 500 to 22 800 with polydispersities of 1.2 to 1.7. magnified image
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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) | 0.002 | 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".