E-LIB Suche - Ergebnisse für: Zahrt, Andrew F

1

Machine Learning to Develop Peptide Catalysts─Successes, Li..:

Schnitzer, Tobias ; Schnurr, Martin ; Zahrt, Andrew F....
ACS Central Science. 10 (2024) 2 - p. 367-373 , 2024

Link: https://doi.org/10.1021/..

2

Effects of Ring Size and Steric Encumbrance on Boron-to-Pal..:

Delaney, Connor P. ; Zahrt, Andrew F. ; Kassel, Vincent M..
The Journal of Organic Chemistry. , 2024

Link: https://doi.org/10.1021/..

3

Chemoinformatic Catalyst Selection Methods for the Optimiza..:

Olen, Casey L. ; Zahrt, Andrew F. ; Reilly, Sean W....
ACS Catalysis. 14 (2024) 4 - p. 2642-2655 , 2024

Link: https://doi.org/10.1021/..

4

Evolutionary features for task-specific machine-learning ap..:

Laverty, Scott ; Dey, Sourav ; Zahrt, Andrew F.
Chem. 10 (2024) 6 - p. 1623-1626 , 2024

Link: https://doi.org/10.1016/..

5

A machine-learning tool to predict substrate-adaptive condi..:

Rinehart, N. Ian ; Saunthwal, Rakesh K. ; Wellauer, Joël...
Science. 381 (2023) 6661 - p. 965-972 , 2023

Link: https://doi.org/10.1126/..

6

Machine-Learning-Guided Discovery of Electrochemical Reacti..:

Zahrt, Andrew F. ; Mo, Yiming ; Nandiwale, Kakasaheb Y....
Journal of the American Chemical Society. 144 (2022) 49 - p. 22599-22610 , 2022

Link: https://doi.org/10.1021/..

7

Continuous stirred-tank reactor cascade platform for self-o..:

Nandiwale, Kakasaheb Y. ; Hart, Travis ; Zahrt, Andrew F....
Reaction Chemistry & Engineering. 7 (2022) 6 - p. 1315-1327 , 2022

Link: https://doi.org/10.1039/..

8

Computational methods for training set selection and error ..:

Zahrt, Andrew F. ; Rose, Brennan T. ; Darrow, William T...
Reaction Chemistry & Engineering. 6 (2021) 4 - p. 694-708 , 2021

Link: https://doi.org/10.1039/..

9

A Conformer‐Dependent, Quantitative Quadrant Model:

Zahrt, Andrew F. ; Rinehart, N. Ian ; Denmark, Scott E.
European Journal of Organic Chemistry. 2021 (2021) 17 - p. 2343-2354 , 2021

Link: https://doi.org/10.1002/..

10

Dreams, False Starts, Dead Ends, and Redemption: A Chronicl..:

Rinehart, N. Ian ; Zahrt, Andrew F. ; Henle, Jeremy J..
Accounts of Chemical Research. 54 (2021) 9 - p. 2041-2054 , 2021

Link: https://doi.org/10.1021/..

11

Leveraging Machine Learning for Enantioselective Catalysis:..:

Rinehart, N. Ian ; Zahrt, Andrew F. ; Denmark, Scott
CHIMIA. 75 (2021) 7-8 - p. 592 , 2021

Link: https://doi.org/10.2533/..

12

Development of a Computer-Guided Workflow for Catalyst Opti..:

Henle, Jeremy J. ; Zahrt, Andrew F. ; Rose, Brennan T....
Journal of the American Chemical Society. 142 (2020) 26 - p. 11578-11592 , 2020

Link: https://doi.org/10.1021/..

13

Cautionary Guidelines for Machine Learning Studies with Com..:

Zahrt, Andrew F. ; Henle, Jeremy J. ; Denmark, Scott E.
ACS Combinatorial Science. 22 (2020) 11 - p. 586-591 , 2020

Link: https://doi.org/10.1021/..

14

Prediction of higher-selectivity catalysts by computer-driv..:

Zahrt, Andrew F. ; Henle, Jeremy J. ; Rose, Brennan T....
Science. 363 (2019) 6424 - p. , 2019

Link: https://doi.org/10.1126/..

15

Evaluating continuous chirality measure as a 3D descriptor ..:

Zahrt, Andrew F. ; Denmark, Scott E.
Tetrahedron. 75 (2019) 13 - p. 1841-1851 , 2019

Link: https://doi.org/10.1016/..