Ligand Substitution, Catalyst Activation, and Oxidative Addition Studies of a Stable Dialkyl Palladium Precatalyst
Bibliographic record
Abstract
Palladium-catalyzed cross-coupling reactions are indispensable in chemical synthesis, but efficient in situ catalyst activation remains a persistent challenge. Current Pd(II) precatalysts often lead to inefficient catalyst activation, necessitating higher catalyst loadings and limiting selectivity. We investigated the ligand substitution and activation mechanism of the stable Pd(II) dialkyl complex ( DMP DAB)Pd(CH 2 SiMe 3 ) 2 in real-time using mass spectrometric monitoring. The introduction of charge-tagged phosphine ligands enabled the detection of key catalytic intermediates and identification of off-cycle species. Our findings demonstrate a low activation energy for the ligand dissociation of the DMP DAB ligand and the reductive elimination of (Me 3 SiCH 2 ) 2 resulting in rapid formation of monoligated LPd(0) species, the active catalytic species for oxidative addition. These mechanistic insights offer a path toward developing more efficient and selective Pd-catalyzed processes, offering valuable guidance for the future design of precatalysts with improved performance.
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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".