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Nickel Catalysis

All articles tagged with #nickel catalysis

New Ligand Design Enables Low-Loading Nickel Catalysis for Broad C-Heteroatom Couplings
science10 days ago

New Ligand Design Enables Low-Loading Nickel Catalysis for Broad C-Heteroatom Couplings

Researchers have developed a new nickel-catalyzed method for forming carbon-heteroatom bonds using visible light and a novel ligand, enabling reactions with electron-rich aryl bromides at catalyst loadings as low as 100 ppm. This approach overcomes previous limitations in oxidative addition reactivity and allows for the coupling of sterically hindered nucleophiles, including tertiary alcohols, without requiring substrate-specific optimization. The method supports gram-scale synthesis and late-stage functionalization of complex pharmaceutical molecules, offering a more efficient alternative to traditional palladium catalysis.

Radical cross-coupling preserves stereochemistry, enabling new chiral building blocks
science4 months ago

Radical cross-coupling preserves stereochemistry, enabling new chiral building blocks

Baran and coworkers report a nickel-catalyzed alkyl-alkyl cross-coupling that forms a C–C bond between a chiral sulfonylhydrazide radical and an alkyl halide without racemizing the stereocenter, achieved via a diazene-cage mechanism. This unusual radical process preserves enantioenrichment in the product, enabling direct access to chiral motifs like piperidines and pyrrolidines without chiral ligands or directing groups, though the method currently works best with cyclic sulfonylhydrazides and requires further scope expansion.

Advancements in Catalysis for Controlling Chemical Reactions.
chemistry3 years ago

Advancements in Catalysis for Controlling Chemical Reactions.

Researchers have developed a unified and practical method for carbon-heteroatom cross-coupling using nickel/photo dual catalysis. The method involves the use of adaptive dynamic homogeneous catalysis, which allows for the acceleration of reaction generality and mechanistic insight through additive mapping. The team also used machine learning to predict reaction performance in C-N cross-coupling. The method has potential applications in drug design and medicinal chemistry.