Energy Material Network Data Hubs
- National Renewable Energy Lab. (NREL), Golden, CO (United States)
- Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
- Maxar Technologies, Westminster, CO (United States)
In early 2015 the United States Department of Energy conceived of a consortium of collaborative bodies based on shared expertise, data, and resources that could be targeted towards the more difficult problems in energy materials research. The concept of virtual laboratories had been envisioned and discussed earlier in the decade in response to the advent of the Materials Genome Initiative and similar scientific thrusts. To be effective, any virtual laboratory needed a robust method for data management, communication, security, data sharing, dissemination, and demonstration to work efficiently and effectively for groups of remote researchers. With the accessibility of new, easily deployed cloud technology and software frameworks, such individual elements could be integrated, and the required collaboration architecture is now possible. The developers have leveraged open-source software frameworks, customized them, and merged them into a platform to enable collaborative energy materials science, regardless of the geographic dispersal of the people and resources. After five years in operations, the systems are demonstratively an effective platform for enabling research within the Energy Material Networks (EMN). This paper will show the design and development of a secured scientific data sharing platform, the ability to customize the system to support diverse workflows, and examples of the enabled research and results connected with some of the Energy Material Networks.
- Research Organization:
- National Renewable Energy Laboratory (NREL), Golden, CO (United States)
- Sponsoring Organization:
- USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Solar Energy Technologies Office
- Grant/Contract Number:
- AC36-08GO28308
- OSTI ID:
- 1810540
- Report Number(s):
- NREL/JA-5H00-79594; MainId:35815; UUID:4d1a8bcf-1953-4094-a11a-0d5765e2f35b; MainAdminId:25733
- Journal Information:
- International Journal of Advanced Computer Science and Applications, Journal Name: International Journal of Advanced Computer Science and Applications Journal Issue: 6 Vol. 12; ISSN 2158-107X
- Publisher:
- The Science and Information OrganizationCopyright Statement
- Country of Publication:
- United States
- Language:
- English
BCM polytype structures from DFT - Data and Resources
|
dataset | January 2019 |
BCM polytype structures from DFT - Data and Resources
|
dataset | January 2019 |
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