【 Education Background】

1. 2017-2020, graduated from Collaborative Innovation Center of Steel Technology, University of Science and Technology Beijing, and got the doctor’s degree.

2. 2007-2014, graduated from School of Computer Science and Technology, Beijing Normal University, and got the bachelor and master’s degree.

【Work Experience】

1. 2014-2023 Collaborative Innovation Center of Steel Technology, University of Science and Technology Beijing, Assistant professor.

2. 2023-Present, Collaborative Innovation Center of Steel Technology, University of Science and Technology Beijing, Associate professor.

【 Individual Resume】

She has been engaged in machine learning/text mining -driven material design and materials database. She has published more than 30 articles in journals such as npj Comput. Mater., Scripta Mater., npj Mater. Degrad., ACS Appl. Mater. Interfaces etc. and obtained 8 patents.

【Research Orientation】

1. Artificial intelligence-driven material composition design and process optimization.

2. Materials Genetic Engineering Database.

【 Research Projects】

1. National Natural Science Foundation of China, " Pitting corrosion prediction and optimal design of duplex stainless steel based on time series data machine learning", 2023-2025.

2. National key research and development plan project, “Development of multi-source heterogeneous database and data mining algorithm library for thin slab continuous casting and rolling automobile steel”, 2021-2025.

3. Interdisciplinary Research Project for Young Teachers of USTB (Fundamental Research Funds for the Central Universities).

【Academic Papers】

1. Wang, Weiren, Xue Jiang*, Shaohan Tian, Pei Liu, Turab Lookman, Yanjing Su, and Jianxin Xie. "Alloy synthesis and processing by semi-supervised text mining." npj Computational Materials 9, no. 1 (2023): 183.

2. Jiang, Xue, Yu Yan, and Yanjing Su. "Data-driven pitting evolution prediction for corrosion-resistant alloys by time-series analysis." npj Materials Degradation 6.1 (2022): 1-8.

3. Wang, Weiren+, Xue Jiang+, Shaohan Tian, Pei Liu, Depeng Dang, Yanjing Su, Turab Lookman, and Jianxin Xie. "Automated pipeline for superalloy data by text mining." npj Computational Materials 8, no. 1 (2022): 1-12.

4. Jiang, Xue, Baorui Jia, Guofei Zhang, Cong Zhang, Xin Wang, Ruijie Zhang, Haiqing Yin et al. "A strategy combining machine learning and multiscale calculation to predict tensile strength for pearlitic steel wires with industrial data." Scripta Materialia 186 (2020): 272-277.

5. Jiang, Xue, Yong Wang, Baorui Jia, Xuanhui Qu, and Mingli Qin. "Using Machine Learning to Predict Oxygen Evolution Activity for Transition Metal Hydroxide Electrocatalysts." ACS Applied Materials & Interfaces 14, no. 36 (2022): 41141-41148.

6. Jiang, Xue, Jianfang Liu, Yongzhi Zhao, Sijia Liu, Baorui Jia, Xuanhui Qu, and Mingli Qin. "Rational Design for Efficient Bifunctional Oxygen Electrocatalysts by Artificial Intelligence." The Journal of Physical Chemistry C 126, no. 45 (2022): 19091-19100.

7. Jiang, Xue, Yongzhi Zhao, Jianfang Liu, Baorui Jia, Xuanhui Qu, and Mingli Qin. "Machine Learning Captures Synthetic Intuitions for Hollow Nanostructures." ACS Applied Nano Materials 5, no. 11 (2022): 17095-17104.

8. Jiang, Xue, Yu Yan, and Yanjing Su. "Predicting the corrosion properties of cast and hot isostatic pressed CoCrMo/W alloys in seawater by machine learning." Anti-Corrosion Methods and Materials (2022).

9. Jiang, Xue, Yong Wang, Baorui Jia, Xuanhui Qu, and Mingli Qin. "Prediction of Oxygen Evolution Activity for NiCoFe Oxide Catalysts via Machine Learning." ACS omega 7, no. 16 (2022): 14160-14164.

10. Jiang, Xue, Baorui Jia, Deyin Zhang, Haoyang Wu, Aiming Chu, Xuanhui Qu, and Mingli Qin. "Hydrothermal synthesis of new CuVO2 delafossite hexagonal nanoplates." Ceramics International 46, no. 18 (2020): 28219-28226.

11. Jiang, Xue, Ruijie Zhang, Cong Zhang, Haiqing Yin, and Xuanhui Qu. "Fast prediction of the quasi-phase equilibrium in phase field model for multicomponent alloys based on machine learning method." Calphad 66 (2019): 101644.

12. Jiang, Xue, Hai-Qing Yin, Cong Zhang, Rui-Jie Zhang, Kai-Qi Zhang, Zheng-Hua Deng, Guo-quan Liu, and Xuan-hui Qu. "An materials informatics approach to Ni-based single crystal superalloys lattice misfit prediction." Computational Materials Science 143 (2018): 295-300.

【 Monographs】

1. Materials Genetic Engineering Textbook Series "Materials Big Data Technology", Metallurgical Industry Press, 2021.