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Record W4205556399 · doi:10.1021/acscatal.1c05386

Identification of a Nitrenoid Reductive Elimination Pathway in Nickel-Catalyzed C–N Cross-Coupling

2022· article· en· W4205556399 on OpenAlexafffund
Connor M. Simon, Samantha L. Dudra, Ryan T. McGuire, Michael J. Ferguson, Erin R. Johnson, Mark Stradiotto

Bibliographic record

VenueACS Catalysis · 2022
Typearticle
Languageen
FieldChemistry
TopicCatalytic Cross-Coupling Reactions
Canadian institutionsUniversity of AlbertaDalhousie University
FundersNatural Sciences and Engineering Research Council of CanadaKillam TrustsDalhousie University
KeywordsReductive eliminationArylNickelChemistryCatalysisDeprotonationNucleophileCombinatorial chemistryMedicinal chemistryStereochemistryOrganic chemistry

Abstract

fetched live from OpenAlex

Whereas the (bisphosphine)Ni-catalyzed C–N cross-coupling of (hetero)aryl (pseudo)halides with NH nucleophiles represents a useful method for the synthesis of (hetero)anilines, our mechanistic understanding of such cross-couplings is incomplete, especially regarding key C–N reductive elimination steps that are often invoked as turnover-limiting. In this combined experimental and computational study, we provide evidence of a bifurcated C–N reductive elimination pathway for cross-couplings of tBuNH2 and (aryl′)SO2NH2 employing (L1)Ni(aryl)Cl as the precatalyst (L1 = PhPAd-DalPhos). In contrast with direct C–N reductive elimination that proceeds from the nickel alkylamido complex (L1)Ni(aryl)(NHtBu), we provide evidence of a previously undocumented base-promoted pathway involving deprotonation of the nickel sulfonamido complex (L1)Ni(aryl)(NHSO2(aryl′)) to give the anionic nickel nitrenoid species [(L1)Ni(aryl)(NSO2(aryl′))]−, from which C–N reductive elimination occurs preferentially.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 science0.0010.000
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 head0.013
GPT teacher head0.278
Teacher spread0.265 · 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.

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

Citations16
Published2022
Admission routes2
Has abstractyes

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