skip to main content
OSTI.GOV title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: Materials Data on Th(CuSn)2 (SG:129) by Materials Project

Abstract

Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations

Authors:
Publication Date:
Research Org.:
LBNL Materials Project; Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
Sponsoring Org.:
USDOE Office of Science (SC), Basic Energy Sciences (BES) (SC-22)
Contributing Org.:
MIT; UC Berkeley; Duke; U Louvain
OSTI Identifier:
1316235
Report Number(s):
mp-980084
DOE Contract Number:  
AC02-05CH11231; EDCBEE
Resource Type:
Data
Resource Relation:
Related Information: https://materialsproject.org/citing
Data Type:
Specialized Mix
Country of Publication:
United States
Language:
English
Subject:
36 MATERIALS SCIENCE; crystal structure; Cu2 Sn2 Th1; Cu-Sn-Th; ICSD-602651

Citation Formats

Kristin Persson. Materials Data on Th(CuSn)2 (SG:129) by Materials Project. United States: N. p., 2016. Web. doi:10.17188/1316235.
Kristin Persson. Materials Data on Th(CuSn)2 (SG:129) by Materials Project. United States. doi:10.17188/1316235.
Kristin Persson. Thu . "Materials Data on Th(CuSn)2 (SG:129) by Materials Project". United States. doi:10.17188/1316235. https://www.osti.gov/servlets/purl/1316235.
@article{osti_1316235,
title = {Materials Data on Th(CuSn)2 (SG:129) by Materials Project},
author = {Kristin Persson},
abstractNote = {Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations},
doi = {10.17188/1316235},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Thu Sep 01 00:00:00 EDT 2016},
month = {Thu Sep 01 00:00:00 EDT 2016}
}

Dataset:

Save / Share: