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GB_b.xyzin
Nov 5, 2018 - Dataset for "A machine learning approach to model solute grain boundary segregation"
Plain Text - 27.1 MB - MD5: 29a92f2127f0c7e6d76201937762b21e
GB_b.xyzin
Nov 5, 2018 - Dataset for "A machine learning approach to model solute grain boundary segregation"
Plain Text - 27.0 MB - MD5: 98d6a183ad9600e7cd9031d373948a80
GB_b.xyzin
Nov 5, 2018 - Dataset for "A machine learning approach to model solute grain boundary segregation"
Plain Text - 27.1 MB - MD5: 3086b69d40444ab6bb8c8c8d6bf42821
GB_b.xyzin
Nov 5, 2018 - Dataset for "A machine learning approach to model solute grain boundary segregation"
Plain Text - 27.0 MB - MD5: 929d52b2c7afef3456470a994769e531
GB_b.xyzin
Nov 5, 2018 - Dataset for "A machine learning approach to model solute grain boundary segregation"
Plain Text - 27.1 MB - MD5: a29a2da68c7a1174dea391f49ea988f6
GB_b.xyzin
Nov 5, 2018 - Dataset for "A machine learning approach to model solute grain boundary segregation"
Plain Text - 27.1 MB - MD5: a29a2da68c7a1174dea391f49ea988f6
GB_c.xyzin
Nov 5, 2018 - Dataset for "A machine learning approach to model solute grain boundary segregation"
Plain Text - 27.0 MB - MD5: c96a3d41c284896da47ad222c8149fe6
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_c.xyzin
Nov 5, 2018 - Dataset for "A machine learning approach to model solute grain boundary segregation"
Plain Text - 27.1 MB - MD5: 27841f108b3a52a8d20668bfb9b833d0
GB_c.xyzin
Nov 5, 2018 - Dataset for "A machine learning approach to model solute grain boundary segregation"
Plain Text - 27.1 MB - MD5: 55303187cc80457e472f4c7d60c600ec
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