Dataset

Al_Cu_Mg_GSFE_JMPS2019



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Name Al_Cu_Mg_GSFE_JMPS2019
Extended ID Al_Cu_Mg_GSFE_JMPS2019_YinAndricCurtin__DS_styimm9cal6v_0
Description Dataset from "Stress-dependence of generalized stacking fault energies":DFT calculations of generalized stacking fault energies (GSFE) for Al, Cu, and Mg.
Authors Binglun Yin
Predrag Andric
W. A. Curtin
Elements Cu (44.85%)
Mg (20.22%)
Al (34.93%)
Number of Data Objects 272
Number of Configurations 273
Number of Atoms 3,264
Links https://doi.org/10.1016/j.jmps.2018.09.007
https://doi.org/10.24435/materialscloud:2019.0089/v1
Configuration Sets by Name Al_Cu_Mg_GSFE_JMPS2019_Al — Configurations of aluminum from Al_Cu_Mg_GSFE_JMPS2019 dataset
Al_Cu_Mg_GSFE_JMPS2019_Cu — Configurations of copper from Al_Cu_Mg_GSFE_JMPS2019 dataset
Al_Cu_Mg_GSFE_JMPS2019_Mg — Configurations of magnesium from Al_Cu_Mg_GSFE_JMPS2019 dataset
Configuration Sets by ID CS_da2b3v1dwtak_0
CS_aijxyxfrtp4c_0
CS_w34fqh5s5wec_0
Data Objects
ColabFit ID DS_styimm9cal6v_0
Files colabfitspec.json

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