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GB_g.xyzin
Nov 5, 2018 - Dataset for "A machine learning approach to model solute grain boundary segregation"
Plain Text - 27.1 MB - MD5: e561e61ac330daf59c4293453657f259
GB_g.xyzin
Nov 5, 2018 - Dataset for "A machine learning approach to model solute grain boundary segregation"
Plain Text - 27.1 MB - MD5: e561e61ac330daf59c4293453657f259
GB_g.xyzin
Nov 5, 2018 - Dataset for "A machine learning approach to model solute grain boundary segregation"
Plain Text - 27.1 MB - MD5: f40979f2671791e521d35abf9beae243
GB_g.xyzin
Nov 5, 2018 - Dataset for "A machine learning approach to model solute grain boundary segregation"
Plain Text - 27.0 MB - MD5: 31865c88879b56fbbb1c6b1be7bd620c
GB_g.xyzin
Nov 5, 2018 - Dataset for "A machine learning approach to model solute grain boundary segregation"
Plain Text - 27.0 MB - MD5: 04328dd09fb8b7dfa9ec317ed284cb0e
GB_g.xyzin
Nov 5, 2018 - Dataset for "A machine learning approach to model solute grain boundary segregation"
Plain Text - 27.0 MB - MD5: 5f34a4890f696d6582b55f971508c17b
GB_h.xyzin
Nov 5, 2018 - Dataset for "A machine learning approach to model solute grain boundary segregation"
Plain Text - 27.0 MB - MD5: b2ec47c986921b3a3d86fb6721be9d21
GB_h.xyzin
Nov 5, 2018 - Dataset for "A machine learning approach to model solute grain boundary segregation"
Plain Text - 27.1 MB - MD5: 5fa43ed8f383ecf6bf2328814bca1480
GB_h.xyzin
Nov 5, 2018 - Dataset for "A machine learning approach to model solute grain boundary segregation"
Plain Text - 27.0 MB - MD5: a4966c4a01d7dd02ca6d2e7430c54c82
GB_h.xyzin
Nov 5, 2018 - Dataset for "A machine learning approach to model solute grain boundary segregation"
Plain Text - 27.0 MB - MD5: b2ec47c986921b3a3d86fb6721be9d21
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