Skip to content
 
 

Repository files navigation

LearningCatalyst

Python code to predict the activity of an alloy electrocatalyst for alkaline hydrogen oxidation.

This code is part of the paper, "High-throughput Fluorescent Screening and Machine Learning for Feature Selection of Electrocatalysts for the Alkaline Hydrogen Oxidation Reaction" and was written by Jeremy Hitt.

To inquire about the code, data or paper, please reach out to the authors via the emails listed in the publication or by leaving a message or issue on this site.

About

Python code to predict the activity of an alloy electrocatalyst for alkaline hydrogen oxidation

Resources

Stars

0 stars

Watchers

0 watching

Forks

Releases

Packages

Contributors

Languages