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Record W2746701507 · doi:10.1021/acs.accounts.7b00249

Designing Pd–N-Heterocyclic Carbene Complexes for High Reactivity <i>and</i> Selectivity for Cross-Coupling Applications

2017· article· en· W2746701507 on OpenAlexafffund
Robert D. J. Froese, Christopher Lombardi, Matthew Pompeo, Richard P. Rucker, Michael G. Organ

Bibliographic record

VenueAccounts of Chemical Research · 2017
Typearticle
Languageen
FieldChemistry
TopicCatalytic Cross-Coupling Reactions
Canadian institutionsWilfrid Laurier UniversityUniversity of OttawaYork University
FundersNatural Sciences and Engineering Research Council of CanadaEli Lilly and Company
KeywordsCarbeneSelectivityReactivity (psychology)ChemistryCoupling (piping)Combinatorial chemistryTransition metal carbene complexOrganic chemistryMaterials scienceCatalysis

Abstract

fetched live from OpenAlex

Over the past decade, the use of Pd-NHC complexes in cross-coupling applications has blossomed, and reactions that were either not previously possible or possible only under very forcing conditions (e.g., > 100 °C, strong base) are now feasible under mild conditions (e.g., room temperature, weak base). Access to tools such as computational chemistry has facilitated a much greater mechanistic understanding of catalytic cycles, which has enabled the design of new NHC ligands and accelerated advances in cross-coupling. With these elements of rational design, highly reactive Pd-NHC complexes have been invented to catalyze the selective formation of single products in a variety of transformations that have the potential to afford multiple compounds (e.g., isomers). Pd-NHC catalysts may be prepared as stable Pd(II) precatalysts that are readily reduced to the active Pd(0) species in the presence of an organometallic cross-coupling partner or nucleophile possessing β-hydrogens. It has been found from computational and experimental results that Pd-NHC complexes bearing a single bulky NHC ligand are well-suited to tackle challenging cross-coupling reactions. N-Aryl-substituted imidazole-2-ylidenes with branched alkyl chains at the ortho positions of the aryl group are effective for the challenging couplings of hindered biaryls, secondary alkyl organozincs, electron-deficient anilines, α-amino esters, primary alkylamines, and ammonia. The bulk of the NHC has been tuned by increasing the size of the alkyl groups at the ortho positions and substituting the NHC core with chlorine substituents. All of the cross-coupling transformations studied benefit from the increased bulk when the ortho groups are changed from methyl to 2-propyl to 3-pentyl. However, there is a limit to the positive effect of steric bulk, as some reactions do not benefit from the increased size of the 4-heptyl group compared with 3-pentyl. Thus, there is an optimum size for the NHC ligand that depends upon whether reactivity (turnover frequency and turnover number), selectivity, or both are needed to obtain the desired reaction outcome. In the cases that we have studied, reactivity and selectivity increase together (i.e., the fastest catalyst is also the most selective), allowing cross-couplings to be carried out under mild conditions to obtain one product with high selectivity. This Account focuses on seminal literature reports that have disclosed new Pd-NHC complexes that have led to significant breakthroughs in efficacy for challenging couplings while demonstrating high selectivity for the desired target. These catalysts have been used widely in materials science, pharmaceutical, and agrochemical applications.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.001
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.086
GPT teacher head0.431
Teacher spread0.345 · 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 source (direct Gemma or distilled Codex), 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

Citations237
Published2017
Admission routes2
Has abstractyes

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