Andrew F Zahrt

6PUBLICATIONS
17CO-AUTHORS
Adversarial machine learningCatalysis and mechanisms of reactionsChemical and thermal processes in energy and combustionReaction engineering (excl. nuclear reactions)Semi- and unsupervised learning
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Publications (6)

|Mar 04, 2024
Machine Learning to Develop Peptide Catalysts-Successes, Limitations, and Opportunities.

Tobias Schnitzer, Martin Schnurr, Andrew F Zahrt

|Feb 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

|Aug 31, 2023
A machine-learning tool to predict substrate-adaptive conditions for Pd-catalyzed C-N couplings.

N Ian Rinehart, Rakesh K Saunthwal, Joël Wellauer

|Dec 02, 2022
Machine-Learning-Guided Discovery of Electrochemical Reactions.

Andrew F Zahrt, Yiming Mo, Kakasaheb Y Nandiwale

|Jun 23, 2020
Development of a Computer-Guided Workflow for Catalyst Optimization. Descriptor Validation, Subset Selection, and Training Set Analysis.

Jeremy J Henle, Andrew F Zahrt, Brennan T Rose

|Jan 19, 2019
Prediction of higher-selectivity catalysts by computer-driven workflow and machine learning.

Andrew F Zahrt, Jeremy J Henle, Brennan T Rose

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Frequent Collaborators

5 joint publications

Scott E Denmark

2 joint publications

Jeremy J Henle

2 joint publications

Brennan T Rose

2 joint publications

Yang Wang