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Tetrahedron Letters
|
January 28, 2020
Evaluating continuous chirality measure as a 3D descriptor in chemoinformatics applied to asymmetric catalysis
Andrew F Zahrt, Scott E Denmark
ACS Combinatorial Science
|
October 1, 2020
Cautionary Guidelines for Machine Learning Studies with Combinatorial Datasets
Andrew F Zahrt, Jeremy J Henle, Scott E Denmark
Chimia
|
September 15, 2021
Leveraging Machine Learning for Enantioselective Catalysis: From Dream to Reality
N Ian Rinehart, Andrew F Zahrt, Scott E Denmark
Chemical Reviews
|
December 31, 2019
Quantitative Structure-Selectivity Relationships in Enantioselective Catalysis: Past, Present, and Future
Andrew F Zahrt, Soumitra V Athavale, Scott E Denmark
Journal of the American Chemical Society
|
March 8, 2017
Structural, Kinetic, and Computational Characterization of the Elusive Arylpalladium(II)boronate Complexes in the Suzuki-Miyaura Reaction
Andy A Thomas, Hao Wang, Andrew F Zahrt, et al.
Accounts of Chemical Research
|
April 15, 2021
Dreams, False Starts, Dead Ends, and Redemption: A Chronicle of the Evolution of a Chemoinformatic Workflow for the Optimization of Enantioselective Catalysts
N Ian Rinehart, Andrew F Zahrt, Jeremy J Henle, et al.
Journal of the American Chemical Society
|
March 16, 2018
Elucidating the Role of the Boronic Esters in the Suzuki-Miyaura Reaction: Structural, Kinetic, and Computational Investigations
Andy A Thomas, Andrew F Zahrt, Connor P Delaney, et al.
The Journal of Organic Chemistry
|
February 29, 2024
Effects of Ring Size and Steric Encumbrance on Boron-to-Palladium Transmetalation from Arylboronic Esters
Connor P Delaney, Andrew F Zahrt, Vincent M Kassel, et al.
ACS Central Science
|
March 4, 2024
Machine Learning to Develop Peptide Catalysts-Successes, Limitations, and Opportunities
Tobias Schnitzer, Martin Schnurr, Andrew F Zahrt, et al.
Journal of the American Chemical Society
|
December 2, 2022
Machine-Learning-Guided Discovery of Electrochemical Reactions
Andrew F Zahrt, Yiming Mo, Kakasaheb Y Nandiwale, et al.
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of 2
Search research articles
Search
Showing results (1-10 of 13) with videos related to
Sort By:
Page
of 2
Tetrahedron Letters
|
January 28, 2020
Evaluating continuous chirality measure as a 3D descriptor in chemoinformatics applied to asymmetric catalysis
Andrew F Zahrt, Scott E Denmark
ACS Combinatorial Science
|
October 1, 2020
Cautionary Guidelines for Machine Learning Studies with Combinatorial Datasets
Andrew F Zahrt, Jeremy J Henle, Scott E Denmark
Chimia
|
September 15, 2021
Leveraging Machine Learning for Enantioselective Catalysis: From Dream to Reality
N Ian Rinehart, Andrew F Zahrt, Scott E Denmark
Chemical Reviews
|
December 31, 2019
Quantitative Structure-Selectivity Relationships in Enantioselective Catalysis: Past, Present, and Future
Andrew F Zahrt, Soumitra V Athavale, Scott E Denmark
Journal of the American Chemical Society
|
March 8, 2017
Structural, Kinetic, and Computational Characterization of the Elusive Arylpalladium(II)boronate Complexes in the Suzuki-Miyaura Reaction
Andy A Thomas, Hao Wang, Andrew F Zahrt, et al.
Accounts of Chemical Research
|
April 15, 2021
Dreams, False Starts, Dead Ends, and Redemption: A Chronicle of the Evolution of a Chemoinformatic Workflow for the Optimization of Enantioselective Catalysts
N Ian Rinehart, Andrew F Zahrt, Jeremy J Henle, et al.
Journal of the American Chemical Society
|
March 16, 2018
Elucidating the Role of the Boronic Esters in the Suzuki-Miyaura Reaction: Structural, Kinetic, and Computational Investigations
Andy A Thomas, Andrew F Zahrt, Connor P Delaney, et al.
The Journal of Organic Chemistry
|
February 29, 2024
Effects of Ring Size and Steric Encumbrance on Boron-to-Palladium Transmetalation from Arylboronic Esters
Connor P Delaney, Andrew F Zahrt, Vincent M Kassel, et al.
ACS Central Science
|
March 4, 2024
Machine Learning to Develop Peptide Catalysts-Successes, Limitations, and Opportunities
Tobias Schnitzer, Martin Schnurr, Andrew F Zahrt, et al.
Journal of the American Chemical Society
|
December 2, 2022
Machine-Learning-Guided Discovery of Electrochemical Reactions
Andrew F Zahrt, Yiming Mo, Kakasaheb Y Nandiwale, et al.
Page
of 2