文章信息/Info

Title:

Material Database and Application Status of Data Mining Technology

作者:

楊 麗13; 蘇 航12; 柴 鋒1; 羅小兵1; 段琳娜12

（1. 鋼鐵研究總院工程用鋼研究所，北京 100081）
（2. 北京鋼研新材科技有限公司，北京 100081）
（3. Institute of Iron and Steel, RWTH Aachen University, Aachen 52072, Germany）

Author(s):

YANG Li1; 3;  SU Hang1; 2;  CHAI Feng1;  LUO Xiaobing1;  DUAN Linna1; 2

(1. Department of Structural Steel, CISRI, Beijing 100081, China)
(2. Beijing CISRI New Material Technology Co., Ltd., Beijing 100081, China)
(3. Institute of Iron and Steel, RWTH Aachen University, Aachen 52072, Germany)

關(guān)鍵詞:

材料數(shù)據(jù)庫; 材料基因工程; 數(shù)據(jù)挖掘; 集成計算; 性能預(yù)測

Keywords:

material database;  materials genome initiative;  data mining;  integrated computing;  properties prediction

DOI:

10.7502/j.issn.1674-3962.201812002

文獻標志碼:

A

摘要:

數(shù)據(jù)庫作為材料基因工程的三大重點研究領(lǐng)域之一，對材料的加速設(shè)計有重要的作用和意義。從20世紀70年代起材料數(shù)據(jù)庫開始在國內(nèi)外逐步發(fā)展，到目前為止各國都已形成了一定數(shù)量的離線和在線數(shù)據(jù)庫。早期材料數(shù)據(jù)庫的基本功能是數(shù)據(jù)存儲、數(shù)據(jù)管理以及數(shù)據(jù)檢索服務(wù)。隨著材料基因工程理念的提出，材料數(shù)據(jù)庫開始關(guān)注發(fā)展數(shù)據(jù)共享、數(shù)據(jù)自動收集和輸出等系列新功能。通過在線集成計算軟件或程序、數(shù)據(jù)分析工具已逐步建立了一些基于數(shù)據(jù)庫的材料智能設(shè)計平臺。數(shù)據(jù)挖掘不考慮復(fù)雜的物理和化學(xué)意義，而是直接從材料數(shù)據(jù)庫中挖掘出有價值的知識或模式的過程，它能夠充分發(fā)揮材料數(shù)據(jù)庫甚至小數(shù)據(jù)量在材料設(shè)計中的作用。目前已經(jīng)被廣泛應(yīng)用到材料性能預(yù)測和優(yōu)化、缺陷質(zhì)量預(yù)測和生產(chǎn)監(jiān)控、微觀組織識別等相關(guān)領(lǐng)域。未來，材料數(shù)據(jù)庫和數(shù)據(jù)挖掘技術(shù)將更加緊密地結(jié)合，協(xié)同向材料集成計算和智能設(shè)計的需求方向發(fā)展。

Abstract:

Database as one important research direction of materials genome initiative (MGI) has a meaningful role in the accelerated design of material. The material database was gradually developed worldwide since 1970s, and then a huge number of offline and online databases have been built up until now on. The basic function of early database is to store, manage and search data. With the concept of MGI put forward, material database begins to focus on a lot of advanced functions, such as data sharing, automatic collection and data output. Intelligent design platform for material based on the material database has been developed by online integrated computing software or program and data analysis software. Data mining is a process to find the valuable knowledge from the database without considering the complex mechanism of physics and chemistry. It plays an important role in material design in database or small data set. Data mining has been widely applied to the prediction and optimization of material properties, defects or quality prediction and production monitoring, recognition of microstructures. In future, the material database and data mining technology will be integrated tightly to satisfy the requirements of the integrated computing and intelligent material design.