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GB_c.xyzin
Nov 5, 2018 - Dataset for "A machine learning approach to model solute grain boundary segregation"
Plain Text - 27.1 MB - MD5: 3d98ee8e514117760fa5e9d3bd4444f5
GB_c.xyzin
Nov 5, 2018 - Dataset for "A machine learning approach to model solute grain boundary segregation"
Plain Text - 27.1 MB - MD5: 40624a4c960f7767a70fa60a4fe28875
GB_d.xyzin
Nov 5, 2018 - Dataset for "A machine learning approach to model solute grain boundary segregation"
Plain Text - 27.1 MB - MD5: ac04962808c8ed770f101c6eb9d4c583
GB_d.xyzin
Nov 5, 2018 - Dataset for "A machine learning approach to model solute grain boundary segregation"
Plain Text - 27.1 MB - MD5: 6901712087741be391183159731f0066
GB_d.xyzin
Nov 5, 2018 - Dataset for "A machine learning approach to model solute grain boundary segregation"
Plain Text - 27.1 MB - MD5: 7abc8a770d2fad365d1d5b50cdd58065
GB_d.xyzin
Nov 5, 2018 - Dataset for "A machine learning approach to model solute grain boundary segregation"
Plain Text - 27.1 MB - MD5: ac04962808c8ed770f101c6eb9d4c583
GB_d.xyzin
Nov 5, 2018 - Dataset for "A machine learning approach to model solute grain boundary segregation"
Plain Text - 27.0 MB - MD5: b1523228749cbcc24cdb2d86538e95fa
GB_d.xyzin
Nov 5, 2018 - Dataset for "A machine learning approach to model solute grain boundary segregation"
Plain Text - 27.0 MB - MD5: 28f1e10c102ce50c90f087026744b771
GB_e.xyzin
Nov 5, 2018 - Dataset for "A machine learning approach to model solute grain boundary segregation"
Plain Text - 27.1 MB - MD5: aa1d35f2f3d1a20f5d35c44c89e2973a
GB_e.xyzin
Nov 5, 2018 - Dataset for "A machine learning approach to model solute grain boundary segregation"
Plain Text - 27.1 MB - MD5: ec1dac29e2b50957d1947f1a6db76442
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