[1]尹海清,姜雪,张瑞杰,等.材料数据在创新发展中的作用与存在问题的思考[J].中国材料进展,2017,(6):011-15.[doi:10.7502/j.issn.1674-3962.2017.06.01]
 YIN Haiqing,JIANG Xue,ZHANG Ruijie,et al.Role of Material Data in materials innovation development and thoughts on the existing problems[J].MATERIALS CHINA,2017,(6):011-15.[doi:10.7502/j.issn.1674-3962.2017.06.01]
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材料数据在创新发展中的作用与存在问题的思考
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中国材料进展[ISSN:1674-3962/CN:61-1473/TG]

卷:
期数:
2017年第6期
页码:
011-15
栏目:
特约研究论文
出版日期:
2017-09-30

文章信息/Info

Title:
Role of Material Data in materials innovation development and thoughts on the existing problems
作者:
 尹海清1姜雪1张瑞杰1刘国权1郑清军2曲选辉13
 (1.北京科技大学钢铁共性技术协同创新中心,北京100083;)
(2.美国肯纳金属有限公司,宾夕法尼亚州15650,美国;)
(3.北京科技大学新材料技术研究院,北京 100083)
Author(s):
 YIN Haiqing1 JIANG Xue1 ZHANG Ruijie1 LIU Guoquan1 ZHENG Qingjun2 QU Xuanhui13
 (1. Collaborative Innovation Center of Steel Technology, University of Science and Technology Beijing, Beijing 100083, China)
(2. Kennametal Inc.,Latrobe, PA 15650, USA)
(3. Institute for Advanced Materials and Technology, University of Science and Technology Beijing, Beijing 100083, China)
关键词:
关键词: 材料数据材料基因工程数据质量数据挖掘基础教育
Keywords:
materials data materials genome initiative data quality data mining college education
DOI:
10.7502/j.issn.1674-3962.2017.06.01
文献标志码:
A
摘要:
  材料数据是材料基因组计划的三大核心工具之一。近年来在国际上引起强烈关注,美国、日本等国相继资助了大型数据库建设和数据分析的项目。材料数据的准确性与完整性,是数据分析与挖掘的根本保障,并直接影响材料数据库的建设以及材料数据价值的深度开发和应用。材料大数据的特征主要表现在材料属性的高维以及属性间的复杂关联关系,在材料数据分析挖掘中应重视与材料领域知识的充分结合,以及离群点分析上的学科特点及需求特殊性。而材料数据相关的基础教育,尤其是在本科阶段数学与计算机相关基础课程的设置,则成为今后材料数据成为创新发展手段的保障。本文就材料基因工程框架下材料数据长久发展进程中目前亟待重视和解决的问题加以讨论。
Abstract:
The material data are one of the three key tools in materials genome initiative (MGI), which have been attracting great attention worldwide. Projects on large scale databases construction and data mining have been implemented in US, Japan and other countries. The accuracy and integrity of the materials data are the foundation of data analysis and mining and they will directly influence the quality of database construction and deep extraction of the data value. The main features of materials data are high dimensions of materials attributes and complex interactive relationships. It’s worth noting that both the data mining should be associated with domain knowledge of materials and the typical requirement of materials on the outlier analysis. Education on materials data related disciplines, especially the college education on math and IT technology, will be the basic guarantee for the data being as the paradigm of innovation. The problems to be settled concerning the long term development of materials data were discussed in this paper.
更新日期/Last Update: 2017-05-27