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Research Update: The materials genome initiative: Data sharing and the impact of collaborative ab initio databases
Author(s) -
Anubhav Jain,
Kristin A. Persson,
Gerbrand Ceder
Publication year - 2016
Publication title -
apl materials
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.571
H-Index - 60
ISSN - 2166-532X
DOI - 10.1063/1.4944683
Subject(s) - reuse , data sharing , data science , computer science , materials science , database , nanotechnology , engineering , medicine , alternative medicine , pathology , waste management
Materials innovations enable new technological capabilities and drive major societal advancements but have historically required long and costly development cycles. The Materials Genome Initiative (MGI) aims to greatly reduce this time and cost. In this paper, we focus on data reuse in the MGI and, in particular, discuss the impact of three different computational databases based on density functional theory methods to the research community. We also discuss and provide recommendations on technical aspects of data reuse, outline remaining fundamental challenges, and present an outlook on the future of MGI’s vision of data sharing

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