Iron Complexes with Chiral N/P Macrocycles as Catalysts for Asymmetric Transfer Hydrogenation
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Bibliographic record
Abstract
Abstract The present account describes the development of chiral, C 2 ‐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 N 2 P 2 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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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 | 0.000 | 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) | 0.000 | 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