Research Update: The materials genome initiative: Data sharing and the impact of collaborative ab initio databases
Abstract
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. Here, 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. Finally, we 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.
- Authors:
-
- Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA
- Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA, Department of Materials Science and Engineering, University of California, Berkeley, Berkeley, California 94720, USA
- Publication Date:
- Research Org.:
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC), Basic Energy Sciences (BES)
- OSTI Identifier:
- 1243149
- Alternate Identifier(s):
- OSTI ID: 1379309
- Grant/Contract Number:
- AC02-05CH11231; EDCBEE
- Resource Type:
- Published Article
- Journal Name:
- APL Materials
- Additional Journal Information:
- Journal Name: APL Materials Journal Volume: 4 Journal Issue: 5; Journal ID: ISSN 2166-532X
- Publisher:
- American Institute of Physics
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 36 MATERIALS SCIENCE
Citation Formats
Jain, Anubhav, Persson, Kristin A., and Ceder, Gerbrand. Research Update: The materials genome initiative: Data sharing and the impact of collaborative ab initio databases. United States: N. p., 2016.
Web. doi:10.1063/1.4944683.
Jain, Anubhav, Persson, Kristin A., & Ceder, Gerbrand. Research Update: The materials genome initiative: Data sharing and the impact of collaborative ab initio databases. United States. https://doi.org/10.1063/1.4944683
Jain, Anubhav, Persson, Kristin A., and Ceder, Gerbrand. Thu .
"Research Update: The materials genome initiative: Data sharing and the impact of collaborative ab initio databases". United States. https://doi.org/10.1063/1.4944683.
@article{osti_1243149,
title = {Research Update: The materials genome initiative: Data sharing and the impact of collaborative ab initio databases},
author = {Jain, Anubhav and Persson, Kristin A. and Ceder, Gerbrand},
abstractNote = {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. Here, 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. Finally, we 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.},
doi = {10.1063/1.4944683},
journal = {APL Materials},
number = 5,
volume = 4,
place = {United States},
year = {Thu Mar 24 00:00:00 EDT 2016},
month = {Thu Mar 24 00:00:00 EDT 2016}
}
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