2022-242 - catlas

Description:

2022-242 - catlas

Abstract

catlas is open source software that is used to systematically enumerate surfaces and adsorption sites for catalyst materials, using open source machine learning potentials to predict their properties. It implements strategies that are standard and established in the catalysis community. It also implements parallel distribution strategies using the open source dask software to make enumeration and prediction faster. The code is available under an MIT license at https://github.com/ulissigroup/catlas

Patent Information:
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Source Code
For Information, Contact:
Jake Greenberg
Senior Manager, Business Development & Licensing
CMU
jpgreenb@andrew.cmu.edu
Inventors:
Zachary Ulissi
Brook Wander
Kirby Broderick
Keywords: