Ward, Logan http://orcid.org/0000-0002-1323-5939
Dunn, Alexander
Faghaninia, Alireza
Zimmermann, Nils E.R.
Bajaj, Saurabh
Wang, Qi
Montoya, Joseph
Chen, Jiming http://orcid.org/0000-0001-5232-5382
Bystrom, Kyle
Dylla, Maxwell
Chard, Kyle
Asta, Mark
Persson, Kristin A.
Snyder, G. Jeffrey
Foster, Ian
Jain, Anubhav
Funding for this research was provided by:
U.S. Department of Energy, Office of Basic Energy Sciences
Department of Commerce, National Institute of Standards and Technology as part of the Center for Hierarchical Material Design (70NANB14H012)
National Science Foundation as part of the Midwest Big Data Hub under NSF (1636950)
Department of Energy (DE-AC02-06CH11357)
U.S. Department of Energy, Office of Science, Office of Basic Energy Sciences, Materials Sciences and Engineering Division (DE-AC02-05-CH11231, KC23MP)
NSF, United States (1541450)
University of California, Berkeley College of Chemistry
NSF DMR (1334713, 1333335)
Office of Science of the U.S. Department of Energy (DE-AC02-05CH11231)
This article is maintained by: Elsevier
Article Title: Matminer: An open source toolkit for materials data mining
Journal Title: Computational Materials Science
CrossRef DOI link to publisher maintained version: https://doi.org/10.1016/j.commatsci.2018.05.018
Content Type: article
Copyright: © 2018 Elsevier B.V. All rights reserved.