Biography & Research 个人简介
I am a Ph.d candidate in Materials Science and Engineering at the University of Science and Technology Beijing (USTB), focusing on the intersection of artificial intelligence and materials science. My research involves the systematic application of machine learning to accelerate the discovery and design of novel materials. 我是北京科技大学(USTB)材料科学与工程专业的博士研究生,主要从事人工智能与材料科学交叉领域的研究,特别是机器学习驱动的新材料发现与设计。
Research Interests 研究方向
- AI-Driven Material Design 人工智能驱动的材料设计
- Large Language Models (LLMs) for Materials Science 面向材料领域的大语言模型开发与应用
- Property prediction and optimization based on LLMs 基于大模型的材料性能预测与优化设计
Education 教育背景
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Ph.D. in Materials Science and Engineering 博士, 材料科学与工程 (2022 - Present至今)
University of Science and Technology Beijing, China 北京科技大学, 中国 -
M.S. in Materials Science and Engineering 硕士, 材料科学与工程 (2020 - 2022)
University of Science and Technology Beijing, China 北京科技大学, 中国 -
B.S. in Metal materials engineering 学士, 金属材料工程 (2016 - 2020)
Xi'an University of Architecture and Technology, China 西安建筑科技大学, 中国
News 近期新闻
- [Sep.9月 2025] My personal website is now live! 我的个人网站现已上线!
- [Jan.1月 2025] Our paper on steel design based on LLMs was published in Acta Materialia! 我们关于大语言模型钢设计的论文发表于《Acta Materialia》!
Selected Publications 学术成果
研究论文
- Tian, S., Jiang, X., Wang, W., Jing, Z., Zhang, C., Zhang, C., Lookman, T., & Su, Y. (2025). Steel Design Based on a Large Language Model. Acta Materialia, 285, 120663. https://doi.org/10.1016/j.actamat.2024.120663
- Jiang, X., Wang, W., Tian, S., Wang, H., Lookman, T., & Su, Y. (2025). Applications of natural language processing and large language models in materials discovery. npj Computational Materials, 11(1), 79. https://doi.org/10.1038/s41524-025-01554-0
- Wang, W., Jiang, X., Li, W., Zhang, C., Liu, P., Tian, S., Lookman, T., & Su, Y. (2025). Design of superalloys with multiple properties via multi-task learning. Acta Materialia, 121161. https://doi.org/10.1016/j.actamat.2025.121161
- Wang, W., Jiang, X., Tian, S., Liu, P., Lookman, T., Su, Y., & Xie, J. (2023). Alloy Synthesis and Processing by Semi-Supervised Text Mining. npj Computational Materials, 9(1), 183. https://doi.org/10.1038/s41524-023-01138-w
- Wang, W., Jiang, X., Tian, S., Liu, P., Dang, D., Su, Y., Lookman, T., & Xie, J. (2022). Automated Pipeline for Superalloy Data by Text Mining. npj Computational Materials, 8(1), 9. https://doi.org/10.1038/s41524-021-00687-2
发明专利
- 姜雪、田少晗、王伟仁、景之华、王浩、宿彦京. 一种基于材料语言模型的多模态钢铁材料力学性能预测方法,中国发明专利,2025年. 申请号:202410894355.3(审查中)
- 宿彦京、姜雪、王伟仁、田少晗、谢建新. 一种基于文本挖掘的科技文献数据自动抽取方法及系统,专利号CN113779995B,中国发明专利,2021年.
- 宿彦京、王伟仁、姜雪、田少晗. 一种材料制备加工工艺信息文本挖掘方法及系统,专利号CN116467430B,中国发明专利,2023年.
软件著作
- 基于材料语言模型的多模态钢铁材料力学性能预测软件. 2024.(作者排名第一)
- 高温合金文献数据自动抽取软件. 2023.(作者排名第三)
- 材料科技文献工艺路线自动抽取系统. 2021.(作者排名第三)
获得荣誉
- 2024 年,第八届材料基因工程高层论坛 (福建宁德),获得优秀墙报一等奖
- 中国材料研究学会科技技术一等奖,大语言模型驱动材料数据资源整合与应用.(作者排名4/9)