Mathew, Kiran
Montoya, Joseph H.
Faghaninia, Alireza
Dwarakanath, Shyam
Aykol, Muratahan
Tang, Hanmei
Chu, Iek-heng
Smidt, Tess
Bocklund, Brandon
Horton, Matthew
Dagdelen, John
Wood, Brandon
Liu, Zi-Kui
Neaton, Jeffrey
Ong, Shyue Ping
Persson, Kristin
Jain, Anubhav
Funding for this research was provided by:
U.S. Department of Energy, Office of Basic Energy Sciences, Early Career Research Program (ECRP)
National Science Foundation (NSF) (1640899)
Joint Center for Energy Storage Research (JCESR) project
Materials Project Center (EDCBEE)
U.S. Department of Energy, Office of Basic Energy Sciences, Materials Sciences and Engineering Division (DE-AC02 05CH11231)
Office of Science, Office of Basic Energy Sciences, of the U.S. Department of Energy (DE-AC0205CH11231)
U.S. Department of Energy, Office of Science, Basic Energy Sciences, Materials Sciences and Engineering Division
NSF National Research Trainee Fellowship (DGE-1449785)
U.S. Department of Energy, Office of Science, Basic Energy Sciences (DE-AC36-08GO28308)
NSF, SI2-SSI Program (1550423)
Office of Science of the U.S. Department of Energy (DE-AC02-05CH11231)
NSF (ACI-1053575)
This article is maintained by: Elsevier
Article Title: Atomate: A high-level interface to generate, execute, and analyze computational materials science workflows
Journal Title: Computational Materials Science
CrossRef DOI link to publisher maintained version: https://doi.org/10.1016/j.commatsci.2017.07.030
Content Type: article
Copyright: © 2017 Elsevier B.V. All rights reserved.