Iron Complexes with Chiral N/P Macrocycles as Catalysts for Asymmetric Transfer Hydrogenation
Bibliographic record
Abstract
Abstract The present account describes the development of chiral, C2‐symmetric N/P macrocyclic ligands that attune to the size and electronic properties of the iron(II) ion to give robust complexes under catalysis conditions. This is not trivial, as the complexes of base metals are substantially less stable than those of precious metals. Also, as these N2P2 macrocycles feature stereogenic P atoms, the control of the stereochemistry at phosphorus is a key synthetic issue. Still, as the macrocyclic effect was insufficient to give robust catalysts under hydrogen transfer conditions, we had to dig deeper into the toolbox of coordination chemistry and use strong‐field ancillary ligands other than CO, specifically isonitriles, which additionally offer a further handle to tune the catalyst. The reward was the discovery of the first iron(II) catalyst for the asymmetric transfer hydrogenation of polar double bonds that is highly enantioselective for a broad scope of substrates.
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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 | 0.001 |
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".