2021.10 德国卡尔斯鲁厄理工学院（KIT）博士

2015.06 西安交通大学 核工程与核技术 学士 

2022.06-2025.07   上海交通大学 智慧能源创新学院  助理教授，博导

2025.08至今          上海交通大学 智慧能源创新学院  副教授，博导

1. 先进核能系统数字孪生

2. 热工水力与安全分析

3. 不确定性分析

4. 核电大模型

5. 智能计算

6. AI for nuclear science and engineering

常年招收硕士、博士及博士后

1.核反应堆工程概论（本科生）

2.工程管理（研究生）

2025-2025年，国核自仪系统工程有限公司项目

2024-2026年，中核集团领创项目

2024-2026年，国家自然科学基金青年科学基金项目

2024-2025年，中国核动力研究设计院项目

2023-204年，清华大学外协项目

等等相关纵向和横向项目支持

SCI论文

Xing, Y., Wang, J., Cui, S., Liu, X., & Song, M. (2026). Interpretable Bayesian-optimized Autoencoder for fault detection and diagnosis with application in nuclear power plants. Progress in Nuclear Energy, 190:105982.

Shi, Y., Song, M., Bi, H., Xu, W., Liu, X., (2025). Hybrid symbolic regression for data-driven discovery: Governing dimensionless numbers in supercritical heat transfer. Energy, 338: 138752.

Bi, H., Song, M., Zhang, T., & Liu, X. (2025). FC-PINNs: Physics-informed neural networks for solving neutron diffusion eigenvalue problem with interface considerations. Journal of Computational Physics, 541:114311.

Chen, F., Huang, Q., Song, M., Liu, X., Zeng, W., Song, H., & Cheng, K. (2025). A study on the development of digital model of digital twin in nuclear power plant based on a hybrid physics and data-driven approach. Applied Thermal Engineering, 271:126289.

Shi, Y., Song, M., Li, H., & Liu, X. (2025). Research on near-critical/trans-critical flow and heat transfer in engineering applications: A review. Renewable and Sustainable Energy Reviews, 224:116079.

Song, M., Li, H., Chen, Z., Chai, X., Xu, W., & Liu, X. (2025). Analysis of space nuclear reactor under accident conditions with CFD simulation and interpretable machine learning algorithm. Annals of Nuclear Energy, 222:111580.

Xu, W., Zhao, N., Song, M., & Liu, X. (2025). Surface Modification of Zirconium Alloy with Nanocrystalline Diamond: Enhancing Quenching Performance for Accident Tolerant Fuel. Small, 202:503963.

Zhang, X., Song, M., Xiao, X., & Liu, X. (2025). EXP-Transformer time series prediction model for accident scenarios in high-reliability energy systems: Nuclear power plants case. Energy, 322:135481.

Song, M., Wiltschko, F., Liu, X., Badea, A. F., & Cheng, X. (2025). Development and assessment of the data-informed continuous machine learning approach based on CHF prediction. International Journal of Heat and Mass Transfer, 252:127474.

Sun, Y., Song, M., Song, C., Zhao, M., & Yang, Y. (2025). KPCA-based fault detection and diagnosis model for the chemical and volume control system in nuclear power plants. Annals of Nuclear Energy, 211:110973.

Xiao, X., Song, M., & Liu, X. (2025). A reliable and adaptive prediction framework for nuclear power plant system through an improved Transformer model and Bayesian uncertainty analysis. Reliability Engineering and System Safety, 261:111076.

Li, H., Song, M., & Liu, X. (2024a). Interpretable machine learning-based prediction and analysis of supercritical fluid heat transfer characteristics at different boundary conditions. Energy, 308:133035.

Shou, J., Xu, W., Song, M., & Liu, X. (2024). Reliable prediction of peak cladding temperature during top reflooding processes: A neural network-based perception-interaction approach. Applied Thermal Engineering, 256:124117.

Xiao, X., Zhang, X., Song, M., Liu, X., & Huang, Q. (2024). NPP accident prevention: Integrated neural network for coupled multivariate time series prediction based on PSO and its application under uncertainty analysis for NPP data. Energy, 305:132374.

Zhao, N., Song, M., Zhang, X., Xu, W., & Liu, X. (2024). Nanodiamond coating in energy and engineering fields: synthesis methods, characteristics, and applications. Small, 20, 202401292.

Song, H., Liu, X., & Song, M. (2023). Comparative study of data-driven and model-driven approaches in prediction of nuclear power plants operating parameters. Applied Energy, 341:121077.

Song, M., Liu, X., & Cheng, X. (2023). Modelling and experimental validation of heat transfer behavior during trans-critical transients. Annals of Nuclear Energy, 186:109771.

Song, H., Song, M., & Liu, X. (2022). Online autonomous calibration of digital twins using machine learning with application to nuclear power plants. Applied Energy, 326:119995.

Song, M., Liu, X., & Cheng, X. (2022). A new correlation for post-dryout heat transfer in upward vertical flow. Nuclear Engineering and Design, 392:111747.

Song, M., & Liu, X. (2021). Assessment of CHF and post-CHF heat transfer models for high-pressure condition. Front. Energy Research, 9:782086.

Song, M., Liu, X., & Cheng, X. (2021). Prediction of critical heat flux (CHF) for the high-pressure region in uniformly heated vertical round tubes. Annals of Nuclear Energy, 158:108303.

Liu, X. J., Song, M. Q., & Cheng, X. (2019). Current status and challenges of supercritical fluid thermal hydraulics. Nuclear Engineering and Design, 354:110176.

Song, M.-Q., Zhang, Q.-M., Guo, Y.-H., Li, K., & Deng, H.-X. (2016). Numerical modeling of thermal loading of diamond crystal in X-ray FEL oscillators. Chinese Physics C, 40(4): 048101.

2024 上海交通大学优异学士学位论文指导教师（Top1%）

2024 中国核学会技术发明奖一等奖

2024 International Excellence Fellowship of Karlsruhe institute of Technology (KIT)