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The materials data ecosystem: Materials data science and its role in data-driven materials discovery

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【作者】尹海清；姜雪；刘国权； Sharon Elder；徐斌；郑清军；曲选辉；

【Author】 Hai-Qing Yin;Xue Jiang;Guo-Quan Liu;Sharon Elder;Bin Xu;Qing-Jun Zheng;Xuan-Hui Qu;Collaborative Innovation Center of Steel Technology, University of Science and Technology Beijing;Beijing Laboratory of Metallic Materials and Processing for Modern Transportation, University of Science and Technology Beijing;Beijing Key Laboratory of Materials Genome Engineering, University of Science and Technology Beijing;Computer Science and Engineering, The Pennsylvania State University, University Park;Kennametal Inc.;Institute of Advanced Materials and Technology, University of Science and Technology Beijing;

【通讯作者】尹海清;

【机构】 Collaborative Innovation Center of Steel Technology, University of Science and Technology Beijing； Beijing Laboratory of Metallic Materials and Processing for Modern Transportation, University of Science and Technology Beijing； Beijing Key Laboratory of Materials Genome Engineering, University of Science and Technology Beijing； Computer Science and Engineering, The Pennsylvania State University, University Park； Kennametal Inc.； Institute of Advanced Materials and Technology, University of Science and Technology Beijing；

【摘要】 Since its launch in 2011, the Materials Genome Initiative(MGI) has drawn the attention of researchers from academia,government, and industry worldwide. As one of the three tools of the MGI, the use of materials data, for the first time, has emerged as an extremely significant approach in materials discovery. Data science has been applied in different disciplines as an interdisciplinary field to extract knowledge from data. The concept of materials data science has been utilized to demonstrate its application in materials science. To explore its potential as an active research branch in the big data era, a three-tier system has been put forward to define the infrastructure for the classification, curation and knowledge extraction of materials data.更多还原

【Abstract】 Since its launch in 2011, the Materials Genome Initiative(MGI) has drawn the attention of researchers from academia,government, and industry worldwide. As one of the three tools of the MGI, the use of materials data, for the first time, has emerged as an extremely significant approach in materials discovery. Data science has been applied in different disciplines as an interdisciplinary field to extract knowledge from data. The concept of materials data science has been utilized to demonstrate its application in materials science. To explore its potential as an active research branch in the big data era, a three-tier system has been put forward to define the infrastructure for the classification, curation and knowledge extraction of materials data.更多还原

【关键词】 Materials Genome Initiative； materials data science； data classification； life-cycle curation；
【Key words】 Materials Genome Initiative； materials data science； data classification； life-cycle curation；

【基金】 Project supported by the National Key R&D Program of China(Grant No.2016YFB0700503);the National High Technology Research and Development Program of China(Grant No.2015AA03420);Beijing Municipal Science and Technology Project,China(Grant No.D161100002416001);the National Natural Science Foundation of China(Grant No.51172018);Kennametal Inc

【文献出处】 Chinese Physics B ,中国物理B , 编辑部邮箱 ,2018年11期

【分类号】TB30
【下载频次】49

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