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The Materials Simulation Toolkit for Machine Learning (MAST-ML): an automated open source toolkit to accelerate data-driven materials research

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posted on 2019-10-14, 16:54 authored by Dane MorganDane Morgan, Ryan JacobsRyan Jacobs, Tam MayeshibaTam Mayeshiba, Ben2 AfflerbachBen2 Afflerbach
This supporting information contains a version of the MAST-ML code available at the time of this publication, which includes all source code and example input and data files. The most up-to-date version of MAST-ML can be found on Github (https://github.com/uw-cmg/MAST-ML). The code and usage documentation (including tutorials) for MAST-ML can be found on Github and ReadtheDocs: https://mastmldocs.readthedocs.io/en/latest/index.html. The diffusion data used in the MAST-ML examples in this paper can be found on Figshare at DOI https://doi.org//m9.figshare.7418492

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National Science Foundation

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