RESEARCH PAPER · Proceedings of the National Academy of Sciences · 2022
Harnessing interpretable and unsupervised machine learning to address big data from modern X-ray diffraction
Jordan Venderley, Krishnanand Mallayya, Michael Matty, Matthew Krogstad, Jacob P. C. Ruff, Geoff Pleiss, Varsha Kishore, David G. Mandrus, Daniel Phelan, Lekh Poudel, Andrew Gordon Wilson, Kilian Q. Weinberger, Puspa Upreti, Michael R. Norman, Stephan Rosenkranz, R. Osborn, Eun-Ah Kim
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