Computational Methods Enable the Prediction of Improved Catalysts for Nickel-Catalyzed Cross-Electrophile Coupling-Reference-Cited by-同舟云学术

Computational Methods Enable the Prediction of Improved Catalysts for Nickel-Catalyzed Cross-Electrophile Coupling

Published:2024-01-26 Issue:5 Volume:146 Page:3043-3051
ISSN:0002-7863
Container-title:Journal of the American Chemical Society
language:en
Short-container-title:J. Am. Chem. Soc.

Author:

Akana Michelle E.¹^ORCID,Tcyrulnikov Sergei²,Akana-Schneider Brett D.¹^ORCID,Reyes Giselle P.²,Monfette Sebastien²,Sigman Matthew S.³,Hansen Eric C.²^ORCID,Weix Daniel J.¹^ORCID

Affiliation:

1. Department of Chemistry, University of Wisconsin-Madison, Madison, Wisconsin 53706, United States

2. Chemical Research and Development, Pfizer Worldwide Research and Development, Groton, Connecticut 06340, United States

3. Department of Chemistry, University of Utah, Salt Lake City, Utah 84112, United States

Funder

Division of Chemistry

NIH Office of the Director

Pfizer

University of Wisconsin-Madison

Publisher

American Chemical Society (ACS)

Link

https://pubs.acs.org/doi/pdf/10.1021/jacs.3c09554

Reference67 articles.

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2. Ligand-Based Control of Nickel Catalysts: Switching Chemoselectivity from One-Electron to Two-Electron Pathways in Competing Reactions of 4-Halotetrahydropyrans

3. Recent Advances in Nonprecious Metal Catalysis

4. Controlling Ni redox states by dynamic ligand exchange for electroreductive Csp3–Csp2 coupling

5. Recent Advances in Nickel Catalysis Enabled by Stoichiometric Metallic Reducing Agents

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