研究员,博士生导师,国家自然科学基金优秀青年基金获得者、国家重点研发计划青年科学家,担任《International Journal of Minerals, Metallurgy and Materials》、《Rare Metals》等期刊编委。
教育工作经历:
2011-2015,香港科技大学,博士研究生
2015-2019,德国慕尼黑大学、美国内布拉斯加大学林肯分校、美国洛斯阿拉莫斯国家实验室,博士后
2019-至今,北京科技大学,研究员
研究领域:
1. 先进金属材料高强韧化
2. 金属材料结构-性能关联的微观表征和集成计算
招收学生专业方向:材料科学与工程、材料工程
办公地点:科技楼4层M02
邮箱:wuhonghui@ustb.edu.cn
代表性论文:
[1] D. Zhu, M. Nie, H.H. Wu, C. Shang, S.Z. Wang, J. Gao, H. Zhao, C. Zhang, Y. Huang, X.P. Mao. High-performance Fe-based superalloys designed via large language models and knowledge graphs, Acta Materialia 2026, 319: 122670.
[2] C. Shang, D. Zhu, H.H. Wu, P. Bai, F. Hou, J. Li, S.Z. Wang, G. Wu, J. Gao, X. Zhou, T. Lookman, X.P. Mao. A quantitative relation for the ductile-brittle transition temperature in pipeline steel, Scripta Materialia 22024, 244: 116023.
[3] D. Zhu, H.H. Wu, F. Hou, J. Zhang, Z. Gao, C. Shang, S.Z. Wang, G. Wu, J. Gao, K. Pan, L. Hou, J. Ma, T. Lookman, X.P. Mao. A transfer learning strategy for tensile strength prediction in austenitic stainless steel across temperatures, Scripta Materialia 2024, 251: 116210.
[4] X.Y. Zhou, H.H. Wu, J. Zhang, S. Ye, T. Lookman, X.P. Mao. Unveiling the mechanism of carbon ordering and martensite tetragonality in Fe-C alloys via deep-potential molecular dynamics simulations, Journal of Materials Science & Technology 2025, 223: 91-103.
[5] F. Wang, H.H. Wu, X. Zhou, P. Bai, C. Shang, S.Z. Wang, G. Wu, J. Gao, H. Zhao, C. Zhang, X.P. Mao. First-principle study on the segregation and strengthening behavior of solute elements at grain boundary in BCC iron, Journal of Materials Science & Technology 2024, 189: 247-261.
[6] F. Wang, H.H. Wu, L. Dong, G. Pan, X. Zhou, S.Z. Wang, R. Guo, G. Wu, J. Gao, F.Z. Dai, X.P. Mao. Atomic-scale simulations in multi-component alloys and compounds: A review on advances in interatomic potential, Journal of Materials Science & Technology 2023, 165: 49-65.
[7] Y. Chen, S.Z. Wang, J. Xiong, G. Wu, J. Gao, Y. Wu, G. Ma, H.H. Wu, X.P. Mao. Identifying facile material descriptors for Charpy impact toughness in low-alloy steel via machine learning, Journal of Materials Science & Technology. 2023, 132: 213-222.
[8] Z. Zhang, C. Shang, H.H. Wu, C. Zhang, F. Hou, H. Wang, S.Z. Wang, J. Gao, H. Zhao, X.P. Mao. Recent developments in low-expansion alloys for high-performance applications, Rare Metals. 2025, 44: 7088-7105.
[9] C. Shang, T. Jiang, H.H. Wu, F. Hou, S.Z. Wang, J. Gao, H. Zhao, C. Zhang, X.P. Mao. Efficient design of hydrogen-resistant ultra-high-strength steels via active learning and multiscale characterization, Corrosion Communications 2026, 21: 60-72.
[10] S.W. Wang, S.Z. Wang, H.H. Wu, Y. Wu, Z Mi, X.P. Mao. Towards enhanced strength-ductility synergy via hierarchical design in steels: From the material genome perspective, Science Bulletin 2021, 66: 958-961.
项目及获奖:
序号 |
项目名称 |
项目类别/获奖等级 |
年度 |
1 |
金属材料的集成多尺度模拟与性能优化 |
基金委优秀青年科学基金项目 |
2021-2024 |
2 |
超高强钢服役过程跨尺度计算和高通量评价技术 |
十四五国家重点研发计划青年科学家项目 |
2022-2025 |
3 |
薄板坯连铸连轧汽车用钢跨尺度集成计算 |
十四五国家重点研发计划课题 |
2021-2025 |
4 |
先进钢铁材料科技数据 资源节点建设 |
国家科技重大专项 课题 |
2025-2028 |
序号 |
奖项名称 |
获奖等级 |
颁奖单位 |
年度 |
1 |
碳科学杰出青年科学家 |
其他 |
eScience期刊 |
2026 |
2 |
小米青年学者 |
其他 |
北京小米公益基金会 |
2024 |
3 |
鼎新青年科学家奖 |
其他 |
北京科技大学 |
2024 |