MétaCan
Menu
Back to cohort
Record W4406088867 · doi:10.1021/acs.organomet.4c00463

Ligand Substitution, Catalyst Activation, and Oxidative Addition Studies of a Stable Dialkyl Palladium Precatalyst

2025· article· en· W4406088867 on OpenAlexafffund
Ian C. Chagunda, Antonia Kropp, David C. Leitch, J. Scott McIndoe

Bibliographic record

VenueOrganometallics · 2025
Typearticle
Languageen
FieldChemistry
TopicCatalytic Cross-Coupling Reactions
Canadian institutionsUniversity of Victoria
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsChemistryCatalysisPalladiumPhosphineReductive eliminationLigand (biochemistry)Oxidative additionCombinatorial chemistryCatalytic cycleSelectivityDissociation (chemistry)Organic chemistry

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.877

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.021
GPT teacher head0.284
Teacher spread0.263 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations7
Published2025
Admission routes2
Has abstractyes

Explore more

Same venueOrganometallicsSame topicCatalytic Cross-Coupling ReactionsFrench-language works237,207