Novel homo- and heterometallic linear trinuclear complexes employing <i>N</i>-2-pyrimidylimidoyl-2-pyrimidylamidine ligands
Bibliographic record
Abstract
Nowadays, bidentate ligands such as acetylacetonate (acac) and 1,3-diketoiminate (nacnac), or tridentate ligands such as terpyridine (terpy), are often employed to isolate metallic complexes for a diverse range of applications including water splitting, organic catalysis, molecular magnets and photosensitizers to name a few. In that regard, the recently prepared N-2-pyrimidylimidoyl-2-pyrimidylamidine (Pm2ImAm) ligand Having these two types of coordination environments within the same complex provides avenues to explore metal complexes with different electronic configurations, for instance incorporating one metal in a low spin (LS) state while another metal is high spin (HS). Recently, Starikova Inspired by her work, as a first step we synthesized similar linear trinuclear homometallic complexes with cobalt, nickel, and copper. These complexes have a central square planar metal ion (M1) coordinated in the bidentate pocket of Pm2ImAm, and two peripheral metal ions (M2) with either penta-coordinated or distorted octahedral configurations. As well, we have isolated heterometallic trinuclear complexes with a central square planar copper ion with two peripheral manganese dichloride groups. Structurally, the main difference between these complexes is the coordination geometry around the peripheral metal. Magnetic studies in these complexes are underway to access the electronic configuration of the metals and potential of the complexes as magnetic materials.
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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 | 0.001 | 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".