Au(I) Complexes Supported by Donor-Functionalized Indene Ligands: Synthesis, Characterization, and Catalytic Behavior in Aldehyde Hydrosilylation
Bibliographic record
Abstract
New Au(I) complexes featuring ligands of the type κ 1 -3-R 2 P -indene (κ 1 - 1a, R = i Pr; κ 1 - 1b, R = Ph) and κ 1 -1-R 2 P -2-Me 2 N -indene (κ 1 - 1c, R = i Pr; κ 1 - 1d, R = Ph) were prepared and structurally characterized. Dicoordinate neutral complexes (κ 1 - 1 )AuCl ( 2 − 5 ) were prepared by reacting 1 with Me 2 SAuCl, with isolated yields ranging from 56 to 88%. Addition of a second equivalent of 1a to 2 resulted in formation of the tricoordinate neutral species (κ 1 - 1a ) 2 AuCl ( 6; 69%). By treating 6 with AgOTf, the corresponding cationic complex [(κ 1 - 1a ) 2 Au] + OTf - ([ 7 ] + OTf -; 72%) was obtained. The catalytic performance of these new Au(I) compounds in the hydrosilylation of various aldehydes was compared to that of catalyst systems derived from a combination of R 3 P (R = Et, n Bu, t Bu, Cy, or Ph) or N -heterocyclic carbene ligands and Me 2 SAuCl. While for the phosphine-substituted indene complexes, a catalyst mixture of 3 mol % 2 and 20 mol % 1a was found to be optimal, a catalyst derived from 3 mol % Me 2 SAuCl and 20 mol % Et 3 P, n Bu 3 P, or t Bu 3 P proved to be the most effective overall, especially for reactions conducted at 24 °C. Single-crystal X-ray diffraction data are provided for 2, 4, 6, and [ 7 ] + OTf - .
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How this classification was reachedexpand
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 | 0.001 |
| 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) | 0.002 | 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 teacher head, 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".