The synthesis of organoiron complexes and coordination polymers containing functionalized terpyridines
Bibliographic record
Abstract
Organic terpyridine derivatives were prepared via nucleophilic substitution at the 4′-position and coordinated with iron, ruthenium, or nickel to form several chelated complexes. These chelated compounds were reacted with chloro-terminated organoiron carboxylic acid complexes to afford terpyridine-based monomers containing three metal centres. A monomer containing a cationic iron complex with two terminal terpyridine moieties was synthesized by employing a Steglich esterification between a dicarboxylic acid organoiron complex and a hexanediol-functionalized terpyridine. The monomers containing multimetal centres were polymerized through nucleophilic aromatic substitution reactions with bisphenol A or hydroquinone, while the monomer containing one organoiron moiety and terminal terpyridine groups was polymerized through chelation to iron or nickel. The thermal properties of the polymers were investigated, with differential scanning calorimetry providing glass transition temperatures of approximately -21 °C for the iron-chelated polymers. Thermogravimetric analysis showed stepwise degradation of the cationic iron moieties, followed by the aromatic backbone, with the final decomposition step representing the loss of the bonding interaction between the iron centre and the nitrogen atoms of the chelated terpyridine groups.
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.
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) | 0.003 | 0.001 |
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".