人工智能背景下Materials Project数据库在计算材料学课程教学中的应用  

Application of Materials Project Database in the Teaching of Computational Materials Science in the Context of Artificial Intelligence

作　　者：胡学敏 孙孪鸿 陈晓玉[1] 叶原丰[1] HU Xuemin;SUN Luanhong;CHEN Xiaoyu;YE Yuanfeng

机构地区：[1]金陵科技学院,江苏南京211169

出　　处：《科教文汇》2024年第10期90-94,共5页Journal of Science and Education

基　　金：金陵科技学院数字赋能应用型高校高质量人才培养项目“数字化知识图谱构建助力《计算材料学》课程教学模式改革实践探索研究”(SZH202409);金陵科技学院第三批课程思政示范项目(计算材料学);江苏省现代教育技术研究课题“新工科路径下‘虚拟创客班’教学实践‘创客云平台’构建”(2022-R-104144)。

摘　　要：该文探讨了在人工智能背景下,Materials Project数据库在计算材料学课程教学中的应用和影响。Materials Project数据库是一个集成了AI和大数据技术的开放获取的材料库,能为学生提供海量的材料晶体结构和物性数据,使教学内容更为丰富,让学生能通过亲自操作获取和分析数据,深入理解微观结构与物性之间的关系。这一新兴的教学模式不仅提升了学生的科研能力和创新思维能力,还有助于培养具备计算材料专业知识和多学科交叉的复合型人才。总体来说,人工智能时代下,大数据的引入为计算材料学课程带来新的活力,并对未来教育改革和实践产生了积极影响。This paper explores the application and impact of the Materials Project database in the teaching of Computational Materials Science in the context of artificial intelligence.The Materials Project database is an open-access materials library that integrates AI and big data technologies,providing students with a vast amount of crystal structure and physical property data for materials.Its introduction has enriched the content of teaching and enabled students to acquire and analyze data through hands-on operation,gaining a deep understanding of the relationship between microscopic structure and physical properties.This emerging teaching mode not only enhances students’research capabilities and innovative thinking,but also helps cultivate compound talents with computational materials professional knowledge and interdisciplinary skills.Overall,in the era of artificial intelligence,the introduction of big data has brought new vitality to Computational Materials Science and had a positive impact on future education reform and practice.

关 键 词：人工智能 Materials Project数据库 计算材料学教学 

分 类 号：G642.0[文化科学—高等教育学]