研究方向

聚焦人工智能赋能先进金属结构材料研究，主要开展以下方向：

1. 面向极端服役环境的轻质合金、高熵合金设计与制备

2. AI驱动金属材料高通量设计与加速研发

3. 深度学习增强三维原子探针及透射电镜表征技术

教育经历

2013-2019 北京科技大学 材料科学与工程 博士

2017-2018 挪威科技大学 / SINTEF 计算材料学 联合培养博士

2009-2013 河南理工大学 材料成型及控制工程 学士

2026-至今 北京科技大学新金属材料全国重点实验室 研究员

2019-2025 德国马普学会可持续材料研究所 博士后研究员、洪堡学者

科研项目

国家自然科学基金优秀青年科学基金（海外）：AI 赋能金属化学短程有序研究（主持，2026–2028）

国家自然科学基金专项：人工智能赋能的三维原子探针技术用于高熵合金复杂组织研究（主持，2026–2028）

德国洪堡基金（主持，2021–2024）

德国材料基因工程 BiGmax、挪威铝合金 AMPERE 等项目（主要参与）

学术兼职

Materials Research Letters、Rare Metals、AI & Materials 青年编委 / 编委，《中国冶金》特邀编辑；长期担任 Nature Reviews Materials、Nature Materials、Nature Communications 等期刊审稿人。

获      奖

2026北京科技大学鼎新学者

2025国家级青年人才计划（海外）

2024材料基因工程高层论坛Best Poster一等奖（指导的博士生）

2021洪堡学者

2017挪威政府奖学金（全球每年10人）

2012第八届“挑战杯”全国大学生创业计划大赛铜奖（国家级）

论文著作

在Nature及其子刊、Advanced Materials、Acta Materialia、Progress in Materials Science等发表多篇高水平论文。成果被美国CAMECA公司、德国马普学会以及北京科技大学官网专题报道。

1. Y. Li*, Y. Wei*, A. Saxena, M. Kühbach, C. Freysoldt, B. Gault*. Machine learning enhanced atom probe tomography analysis. Progress in Materials Science 156 (2026) 101561.

2. Y. Li, H. Li*, L. Katgerman, Q. Du*, J. Zhang, L. Zhuang*. Recent advances in hot tearing during casting of aluminium alloys. Progress in Materials Science 117 (2021) 100741.

3. Y. Li*, T. Colnaghi, Y. Gong*, H. Zhang, Y. Yu, Y. Wei, B. Gan, M. Song, A. Marek, M. Rampp, S. Zhang, Z. Pei, M. Wuttig, S. Ghosh, F. Körmann, J. Neugebauer, Z. Wang*, B. Gault*. Machine Learning-Enabled Tomographic Imaging of Chemical Short-Range Atomic Ordering. Advanced Materials 36 (2024) 2407564. 封面论文

4.Y. Li*, Y. Wei, Z. Wang*, T. Colnaghi, L. Han, Z. Rao, X. Zhou, L. Huber, R. Dsouza, J. Neugebauer, A. Marek, M. Rampp, S. Bauer, H. Li, I. Baker, L.T. Stephenson, B. Gault*. Quantitative three-dimensional imaging of chemical short-range order via machine learning enhanced atom probe tomography. Nature Communications 14 (2023) 7410.

5.J. Yu, Z. Wang*, A. Saksena, S. Wei, Y. Wei, T. Colnaghi, A. Marek, M. Rampp, M. Song*, B. Gault, Y. Li*. 3D deep learning for enhanced atom probe tomography analysis of nanoscale microstructures. Acta Materialia 278 (2024) 120280.

6. K. Yan, Y. Xu, J. Niu, Y. Wu*, Y. Li*, B. Gault, S. Zhao, X. Wang, Y. Li, J. Wang, Konstantin P. Skokov, O. Gutfleisch, H. Wu, D. Jiang, Y. He, C. Jiang*. Unraveling the origin of local chemical ordering structure in Fe-based solid solutions. Acta Materialia 264 (2024) 119583.

7.J. Zhang, D. Zhou*, X. Pang, B. Zhang, Y. Li*, B. Sun, J. Wen, Ruslan Z. Valiev, D. Zhang*. Deformation-induced concurrent formation of 9R phase and twins in a nanograined aluminum alloy. Acta Materialia 244 (2023) 118540.

8.W. Gao#, Y. Li#, X. Zhou, Q. Zhu, C. Zhang*, X. Liang, Y. Wu, G. Xu, P. Tang, Y. Huang, Y. Liu, R. Geng, Y. Li, C. Wang, M. Liu, Y. Lu, R. Zheng, C. Ma, R.O. Ritchie*, H. Guo*, S. Zhao*. Integrating diverse strengtheners empowers a ferrous high-entropy alloy at ambient and elevated temperatures. Acta Materialia 297 (2025) 121320.

9.T. Lu#, B. Sun#, Y. Li, S. Dai, N. Yao, W. Li, X. Dong, X. Chen, J. Niu, F. Ye, A. Kwiatkowski da Silva, S. Zhu, Y. Xie, X. Yang, S. Deng, J. Tan, Z. Li, D. Ponge, L. He, X.-C. Zhang*, D. Raabe*, S.-T. Tu. Dual-scale chemical ordering for cryogenic properties in CoNiV-based alloys. Nature 645 (2025) 385–391.

10.Y. Li*, T. Colnaghi, Y. Wei, A. Marek, H. Li, S. Bauer, M. Rampp, L.T. Stephenson*. Convolutional neural network-assisted recognition of nanoscale L12 ordered structures in face-centred cubic alloys. npj Computational Materials 7 (2021) 8.

11. Y. Li, B. Holmedal, B. Liu, H. Li*, L. Zhuang, J. Zhang, Q. Du*, J. Xie*. Towards high-throughput microstructure simulation in compositionally complex alloys via machine learning. Calphad 72 (2021) 102231.

12.Y. Li, R.K. Nutor, B. Gault. L12-type chemical short-range ordering in compositionally complex alloys. Journal of Materials Science & Technology 250 (2026) 188-196.

13.J. Zhang, X. Pang, Y. Li*, S. Wei, C. Yang*, S. Pan, B. Sun, D. Zhou*, X. Huang, D. Zhang, G. Qin. Tuning generalized planar fault energies to enable deformation twinning in nanocrystalline aluminum alloys. International Journal of Plasticity 178 (2024) 104018.

14.X. Zhang, C. Yang*, L. Meng, Z. Chen, W. Gong, B. Sun, S. Zhao, D. Zhang, Y. Li*, D. Zhou*. The influence of precipitation on plastic deformation in a high Mg-containing AlMgZn-based crossover alloy: Slip localization and strain hardening. International Journal of Plasticity 173 (2024) 103896.

15. Z. Rao*, Y. Li*, H. Zhang, T. Colnaghi, A. Marek, M. Rampp, B. Gault*. Direct recognition of crystal structures via three-dimensional convolutional neural networks with high accuracy and tolerance to random displacements and missing atoms. Scripta Materialia 234 (2023) 115542.

16.F. Wang, Y. Li*, X. Chen, H. Zhao, K. Yaqoob, Y. Du, Z. Wang*, M. Song*. Superior strength–ductility combination in Al alloys via dislocation gradient structure. Materials Research Letters 11 (2023) 347-353.

17. Z. Zhang, Y. Li*, H. Li*, D. Zhang, J. Zhang*. Effect of high Cu concentration on the mechanical property and precipitation behavior of Al-Mg-Zn-(Cu) crossover alloys. Journal of Materials Research and Technology 20 (2022) 4585-4596.

18.X. Zhang, D. Zhou*, Y. Li*, D. Zhang. Concurrent dynamic strain aging and dynamic precipitation evades strength-ductility trade-off in a high Mg-content aluminum crossover alloy. Materials Science & Engineering A 854 (2022) 143800.

19.Y. Li, Z. Zhang, Z. Zhao, H. Li*, L. Katgerman, J. Zhang, L. Zhuang*. Effect of Main Elements (Zn, Mg, and Cu) on Hot Tearing Susceptibility During Direct-Chill Casting of 7xxx Aluminum Alloys. Metallurgical and Materials Transactions A 50 (2019) 3603–3616.

20.Y. Li, B. Holmedal, H. Li*, L. Zhuang, J. Zhang, Q. Du*. Precipitation and strengthening modeling for disk-shaped particles in aluminum alloys: size distribution considered. Materialia 4 (2018) 431-443.

招生信息

欢迎对AI+新材料、高熵合金、轻质合金、三维原子探针、透射电镜表征等方向感兴趣的硕士生、博士生加入课题组。特别欢迎材料、物理、化学、计算机、机械等交叉学科背景的同学申请。课题组提供一流科研平台、国际化培养与顶刊论文产出机会，特别优秀者可获海（境）外学习交流机会。