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Automated Quantum Mechanical Predictions of Enantioselectivity in a Rhodium-Catalyzed Asymmetric Hydrogenation
Authors:Yanfei Guan  Prof. Steven E. Wheeler
Affiliation:Department of Chemistry, Texas A&M University, College Station, TX, 77842 USA
Abstract:A computational toolkit (AARON: An automated reaction optimizer for new catalysts) is described that automates the density functional theory (DFT) based screening of chiral ligands for transition-metal-catalyzed reactions with well-defined reaction mechanisms but multiple stereocontrolling transition states. This is demonstrated for the Rh-catalyzed asymmetric hydrogenation of (E)-β-aryl-N-acetyl enamides, for which a new C2-symmetric phosphorus ligand is designed.
Keywords:asymmetric catalysis  computational chemistry  density functional calculations  enantioselectivity  ligand design
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