A Halide-Induced Redox-Switchable Catalyst for the Hydroboration of Terminal Alkenes
Bibliographic record
Abstract
We describe the synthesis of two rhodium and iridium complexes featuring a di-NHC macrocyclic ligand, which incorporates both a diphenylene moiety and a naphthalenediimide (NDI) unit. We observed that the addition of fluoride or chloride resulted in substantial alterations to the steric and electronic properties of both complexes. Specifically, fluoride addition led to the reduction of the NDI unit through the formation of an (OH – ) NDI intermediate, while chloride produced a (Cl – )···NDI adduct. Both adducts were confirmed by mass spectrometry. The impact of fluoride and chloride addition on the steric and electronic properties of the rhodium and iridium NDI-containing complexes was examined using spectroscopic and computational methods. The presence of either halide significantly enhanced the catalytic activity of the complexes in the hydroboration of terminal alkenes. Finally, we demonstrated that this catalytic enhancement is reversible, with the catalytic process being activated and deactivated by the sequential introduction of excess halide and NOBF 4 . This observation reveals a rare example of a halide-induced redox-switchable catalytic (HIRSC) system.
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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 | 0.000 |
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".