4-21. Development of MGI database of high-temperature permanent magnetic alloy systems and its applications

Xiaoyan Song*, Dong Liu, Kai Guo, Fei Mao

College of Materials Science and Engineering, Key Laboratory of Advanced Functional Materials, Education Ministry of China, Beijing University of Technology, Beijing 100124, China

Abstract: Sm-Co based permanent magnetic alloys are acknowledged as the most promising permanent magnets for high-temperature applications in important fields such as aeronautical and space technologies and defense strategy. After exploration in the field of rare-earth based functional materials for more than 10 years, our team at Beijing University of Technology (BJUT) established the fundamental databases for rare-earths and Sm-Co binary compounds in 2012, in which for the first time the nanoscale effects on the phase constitution and magnetic performance of alloys were taken into account. After professional evaluation, these databases have been officially installed into the Materials Scientific Data Sharing Network of China.

Since 2015, considering the increasing demand for materials data in the frame of Materials Genome Initiative (MGI), we have developed the MGI-oriented database of Sm-Co based alloys, along with which we set up a specific Material Knowledge Information Analysis, Association and Management System. The works of MGI database, data management system, and data mining technology facilitate the data-driven materials design of high-temperature permanent magnets. Our MGI-oriented database has advantages as highly component-structured and fully integrated, from which high-quality datasets can be extracted for issues such as certain magnetic properties, phases, and Curie temperature, as well as new materials development. Based on this database, it is possible to screen doping elements, control main phases, and tailor magnetic properties assisted by machine learning. The accuracy and efficiency of the design of new high-temperature permanent magnets have been significantly improved, and a series of multi-component permanent magnetic alloys with excellent comprehensive magnetic properties have been produced.

Keywords: MGI database of Sm-Co based alloys; High-temperature permanent magnets; Machine learning; Multi-component alloy design

高温永磁合金体系MGI数据库的构建与应用

宋晓艳*，刘东，郭凯，毛斐

北京工业大学 材料科学与工程学院/新型功能材料教育部重点实验室

摘要：Sm-Co体系永磁合金是目前国际上公认的最可能满足航空航天、国防等战略领域高温服役环境需求的磁性材料体系。在稀土磁性材料领域，历经多年的探索和发展，北京工业大学研究团队于2012年建成了国际上首次引入纳米尺度效应的稀土单质基础数据库、Sm-Co二元化合物基础数据库，并经专业评估，加入国家材料科学数据共享网。自2015年以来，面向材料基因工程需求，本团队构建了Sm-Co合金体系MGI专用数据库与材料知识信息解析、关联与管理系统，并逐步形成了包含数据库、数据管理系统、数据挖掘技术等在内的“数据驱动”高温永磁合金新材料研发系统。构建的MGI专用数据库具有高度结构化和综合功能性特征，可面向Sm-Co类合金磁性能、物相、居里温度等科学问题和新材料设计问题抽取高质量的数据集，结合机器学习实现优选掺杂元素、控制材料物相、调控材料磁性能等，显著提高了新型高温永磁合金设计的准确性和高效性，由此获得了系列具有优良综合磁性能的多元永磁合金。

关键词：Sm-Co体系MGI数据库；高温永磁合金；机器学习；多元合金设计