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

doi:10.1088/1674-1056/27/11/118101

中国物理B ›› 2018, Vol. 27 ›› Issue (11): 118101-118101.doi: 10.1088/1674-1056/27/11/118101

所属专题： TOPICAL REVIEW — Physics research in materials genome

• SPECIAL TOPIC—Recent advances in thermoelectric materials and devices • 上一篇下一篇

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

Hai-Qing Yin(尹海清), Xue Jiang(姜雪), Guo-Quan Liu(刘国权), Sharon Elder, Bin Xu(徐斌), Qing-Jun Zheng(郑清军), Xuan-Hui Qu(曲选辉)

1 Collaborative Innovation Center of Steel Technology, University of Science and Technology Beijing, Beijing 100083, China;
2 Beijing Laboratory of Metallic Materials and Processing for Modern Transportation, University of Science and Technology Beijing, Beijing 100083, China;
3 Beijing Key Laboratory of Materials Genome Engineering, University of Science and Technology Beijing, Beijing 100083, China;
4 Computer Science and Engineering, The Pennsylvania State University, University Park, PA 16802, USA;
5 Kennametal Inc., 1600 Technology Way Latrobe, PA 15650, USA;
6 Institute of Advanced Materials and Technology, University of Science and Technology Beijing, Beijing 100083, China

收稿日期:2018-05-07 修回日期:2018-08-20 出版日期:2018-11-05 发布日期:2018-11-05
通讯作者: Hai-Qing Yin E-mail:hqyin@ustb.edu.cn
基金资助:
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), and Kennametal Inc.

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

Hai-Qing Yin(尹海清)^1,2,3, Xue Jiang(姜雪)^1,3, Guo-Quan Liu(刘国权)^1,3, Sharon Elder⁴, Bin Xu(徐斌)¹, Qing-Jun Zheng(郑清军)⁵, Xuan-Hui Qu(曲选辉)^1,2,6

1 Collaborative Innovation Center of Steel Technology, University of Science and Technology Beijing, Beijing 100083, China;
2 Beijing Laboratory of Metallic Materials and Processing for Modern Transportation, University of Science and Technology Beijing, Beijing 100083, China;
3 Beijing Key Laboratory of Materials Genome Engineering, University of Science and Technology Beijing, Beijing 100083, China;
4 Computer Science and Engineering, The Pennsylvania State University, University Park, PA 16802, USA;
5 Kennametal Inc., 1600 Technology Way Latrobe, PA 15650, USA;
6 Institute of Advanced Materials and Technology, University of Science and Technology Beijing, Beijing 100083, China

Received:2018-05-07 Revised:2018-08-20 Online:2018-11-05 Published:2018-11-05
Contact: Hai-Qing Yin E-mail:hqyin@ustb.edu.cn
Supported by:
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), and Kennametal Inc.

摘要/Abstract

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.

关键词: Materials Genome Initiative, materials data science, data classification, life-cycle curation

Abstract:

Key words: Materials Genome Initiative, materials data science, data classification, life-cycle curation

中图分类号: (New materials: theory, design, and fabrication)

81.05.Zx

89.20.Ff (Computer science and technology)

尹海清, 姜雪, 刘国权, Sharon Elder, 徐斌, 郑清军, 曲选辉. The materials data ecosystem: Materials data science and its role in data-driven materials discovery[J]. 中国物理B, 2018, 27(11): 118101-118101.

Hai-Qing Yin(尹海清), Xue Jiang(姜雪), Guo-Quan Liu(刘国权), Sharon Elder, Bin Xu(徐斌), Qing-Jun Zheng(郑清军), Xuan-Hui Qu(曲选辉). The materials data ecosystem: Materials data science and its role in data-driven materials discovery[J]. Chin. Phys. B, 2018, 27(11): 118101-118101.

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

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