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Title: 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
Product Type:
Dataset
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 = {2020},
month = {8}
}