节点文献
材料科学数据库在材料研发中的应用与展望
Materials Science Database in Material Research and Development:Recent Applications and Prospects
【摘要】 [目的]随着"大数据"时代的来临,大数据技术由于可显著加速材料研发,已经成为材料科学研究者关注的热点技术之一。基于材料数据库平台的材料大数据技术更是成为"材料基因工程"的三大核心技术之一。因此,材料数据库建设对于加速新材料的研发至关重要。[方法]本文通过对国内外材料科学数据库的建设及应用的概括和总结,并结合材料科学数据库的发展趋势,提出了未来的研究方向。[结果]材料基因组(工程)理念的提出和大数据技术的快速发展,促进了国内外大量材料科学数据库的建立。相较国外而言,国内的材料科学数据库建设相对较晚。但在"十三五"国家重点研发计划专项的支持下,我国材料科学数据库平台建设有望在未来几年内取得初步成效。[结论]材料科学数据库的建设已经成为材料基因工程技术发展进程当中一种不可或缺的要素,但在数据库建设和应用过程中还存在很多困难亟待解决,材料科学数据库的发展仍任重道远。
【Abstract】 [Objective] With the advent of the "Big Data" era, big data technology has become one of the hottest technologies attracting material science researchers because it can significantly accelerate the development of materials. The material big data technology based on the material database platform is one of the three core technologies of "Materials Genome Engineering". Therefore, the construction of a material database is very important to acceleration of the development of new materials. [Methods] This article summarizes the constructions and applications of material science databases at home and abroad, and puts forward future research directions based on the development trend of material science databases. [Results] The advancement of the material genome(engineering) concept and the rapid development of big data technologies have promoted the establishment of a large number of material science databases at home and abroad. Compared with developed countries, the material science database construction in China is relatively late. However, with the support of the ‘Thirteenth Five-Year Plan’ national key research and development program of China, the construction of China’s material science database platform is expected to achieve initial results in the next few years. [Conclusions] The construction of material science database has become an indispensable element in the development process of material genome engineering technology. But there are still many difficulties to be resolved in the process of database construction and application. The development of a material science database remains a challenging task.
【Key words】 database; big data technology; material informatics; material genome engineering; machine learning;
- 【文献出处】 数据与计算发展前沿 ,Frontiers of Data & Computing , 编辑部邮箱 ,2020年02期
- 【分类号】TP311.13;TB30
- 【被引频次】10
- 【下载频次】1404