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Materials Data Science: Current Status and Future Outlook

机译:材料数据科学:现状与未来展望

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摘要

The field of materials science and engineering is on the cusp of a digital data revolution. After reviewing the nature of data science and Big Data, we discuss the features of materials data that distinguish them from data in other fields. We introduce the concept of process-structure-property (PSP) linkages and illustrate how the determination of PSPs is one of the main objectives of materials data science. Then we review a selection of materials databases, as well as important aspects of materials data management, such as storage hardware, archiving strategies, and data access strategies. We introduce the emerging field of materials data analytics, which focuses on data-driven approaches to extract and curate materials knowledge from available data sets. The critical need for materials e-collaboration platforms is highlighted, and we conclude the article with a number of suggestions regarding the near-term future of the materials data science field.
机译:材料科学与工程领域正处于数字数据革命的风口浪尖上。在回顾了数据科学和大数据的本质之后,我们讨论了将材料数据与其他领域的数据区分开的材料数据的特征。我们介绍了过程-结构-属性(PSP)链接的概念,并说明了确定PSP的方式是材料数据科学的主要目标之一。然后,我们回顾选择的材料数据库以及材料数据管理的重要方面,例如存储硬件,归档策略和数据访问策略。我们介绍了材料数据分析的新兴领域,该领域侧重于从现有数据集中提取和整理材料知识的数据驱动方法。突出显示了对物料电子协作平台的迫切需求,并且在本文结尾处提供了有关物料数据科学领域的近期发展的一些建议。

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