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; 張瑞杰1; 劉國權(quán)1; 鄭清軍2; 曲選輝1; 3

 （1.北京科技大學(xué)鋼鐵共性技術(shù)協(xié)同創(chuàng)新中心，北京100083；）
(2.美國肯納金屬有限公司，賓夕法尼亞州15650，美國；)
(3.北京科技大學(xué)新材料技術(shù)研究院，北京 100083）

Author(s):

 YIN Haiqing1;  JIANG Xue1;  ZHANG Ruijie1;  LIU Guoquan1;  ZHENG Qingjun2;  QU Xuanhui1; 3

 （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)

關(guān)鍵詞:

關(guān)鍵詞: 材料數(shù)據(jù); 材料基因工程; 數(shù)據(jù)質(zhì)量; 數(shù)據(jù)挖掘; 基礎(chǔ)教育

Keywords:

materials data;  materials genome initiative;  data quality;  data mining;  college education

DOI:

10.7502/j.issn.1674-3962.2017.06.01

文獻(xiàn)標(biāo)志碼:

A

摘要:

  材料數(shù)據(jù)是材料基因組計劃的三大核心工具之一。近年來在國際上引起強(qiáng)烈關(guān)注，美國、日本等國相繼資助了大型數(shù)據(jù)庫建設(shè)和數(shù)據(jù)分析的項(xiàng)目。材料數(shù)據(jù)的準(zhǔn)確性與完整性，是數(shù)據(jù)分析與挖掘的根本保障，并直接影響材料數(shù)據(jù)庫的建設(shè)以及材料數(shù)據(jù)價值的深度開發(fā)和應(yīng)用。材料大數(shù)據(jù)的特征主要表現(xiàn)在材料屬性的高維以及屬性間的復(fù)雜關(guān)聯(lián)關(guān)系，在材料數(shù)據(jù)分析挖掘中應(yīng)重視與材料領(lǐng)域知識的充分結(jié)合，以及離群點(diǎn)分析上的學(xué)科特點(diǎn)及需求特殊性。而材料數(shù)據(jù)相關(guān)的基礎(chǔ)教育，尤其是在本科階段數(shù)學(xué)與計算機(jī)相關(guān)基礎(chǔ)課程的設(shè)置，則成為今后材料數(shù)據(jù)成為創(chuàng)新發(fā)展手段的保障。本文就材料基因工程框架下材料數(shù)據(jù)長久發(fā)展進(jìn)程中目前亟待重視和解決的問題加以討論。

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.