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

Title: Materials Data on CeZnPd (SG:189) 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:
1189555
Report Number(s):
mp-13382
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; Ce1 Pd1 Zn1; Ce-Pd-Zn; ICSD-420208; ICSD-656588; electronic bandstructure

Citation Formats

Persson, Kristin. Materials Data on CeZnPd (SG:189) by Materials Project. United States: N. p., 2015. Web. doi:10.17188/1189555.
Persson, Kristin. Materials Data on CeZnPd (SG:189) by Materials Project. United States. doi:10.17188/1189555.
Persson, Kristin. Mon . "Materials Data on CeZnPd (SG:189) by Materials Project". United States. doi:10.17188/1189555. https://www.osti.gov/servlets/purl/1189555.
@article{osti_1189555,
title = {Materials Data on CeZnPd (SG:189) by Materials Project},
author = {Persson, Kristin},
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 = {10.17188/1189555},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Mon Feb 09 00:00:00 EST 2015},
month = {Mon Feb 09 00:00:00 EST 2015}
}

Dataset:

Save / Share: