Phases and Youngs modulus dataset
Abstract
A useful data for predicting phases and Youngs modulus using machine learning
- Authors:
- Publication Date:
- Other Number(s):
- 67d7ada4-e4f3-4251-8c08-a3e1fa72923d
- DOE Contract Number:
- WBS 2.1.0.19
- Research Org.:
- National Energy Technology Laboratory (NETL), Pittsburgh, PA, Morgantown, WV, and Albany, OR (United States). Energy Data eXchange; AMES
- Sponsoring Org.:
- USDOE Office of Energy Efficiency and Renewable Energy (EERE), Energy Efficiency Office. Advanced Manufacturing Office
- Keywords:
- Phase data of 340 HEAs; Youngs modulus data of 107 HEAs
- OSTI Identifier:
- 1644297
- DOI:
- https://doi.org/10.18141/1644297
Citation Formats
Balasubramanian, Ankit Roy and Ganesh. Phases and Youngs modulus dataset. United States: N. p., 2020.
Web. doi:10.18141/1644297.
Balasubramanian, Ankit Roy and Ganesh. Phases and Youngs modulus dataset. United States. doi:https://doi.org/10.18141/1644297
Balasubramanian, Ankit Roy and Ganesh. 2020.
"Phases and Youngs modulus dataset". United States. doi:https://doi.org/10.18141/1644297. https://www.osti.gov/servlets/purl/1644297. Pub date:Mon Aug 03 00:00:00 EDT 2020
@article{osti_1644297,
title = {Phases and Youngs modulus dataset},
author = {Balasubramanian, Ankit Roy and Ganesh},
abstractNote = {A useful data for predicting phases and Youngs modulus using machine learning},
doi = {10.18141/1644297},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Mon Aug 03 00:00:00 EDT 2020},
month = {Mon Aug 03 00:00:00 EDT 2020}
}
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