教育经历

2021.9-2025.12 中山大学，中法核工程与技术学院，工学博士 （导师：姜乃斌 教授）

2024.10-2025.10 日本京都大学，复合原子力科学研究所，联合培养博士生 （合作导师：Xiuzhong Shen 教授）

工作经历

2026.2-至今 中山大学，中法核工程与技术学院，博士后（合作导师：姜乃斌 教授、 王为 教授）

科研项目

1. 2026年度国家资助博士后研究人员计划(C档)，在研，项目负责人
2. 国家自然科学基金：青年科学基金项目(C类)，在研，项目负责人

学术兼职

1. 国际期刊《Fluids》青年编委
2. Energy、JCP、POF、ANE、PNE、NED 等国际期刊审稿人

学术论文

1. Min, G., Liu, J., Shen, X., & Jiang, N. (2026). Data-driven turbulence measurement, modeling, and prediction in a six-by-six fuel rod bundle in nuclear energy systems. Engineering Applications of Artificial Intelligence, 167, 113945.
2. Min, G., Shen, X., & Jiang, N. (2026). An all-flow-regime drift-flux model for vertical rod-bundle two-phase flow: adiabatic to boiling. International Communications in Heat and Mass Transfer, 176, 111325.
3. Min, G., Liu, J., & Jiang, N. (2026). Flow-induced vibration reduced-order model of fuel rods based on large eddy simulation and a self-developed MATLAB-based Euler-Bernoulli beam element. Nuclear Engineering and Technology, 104234.
4. Min, G., Li, Y., & Jiang, N. (2026). Flow-induced vibration analysis of fuel rods based on the transfer matrix method and random vibration theory. Progress in Nuclear Energy, 195, 106316.
5. Min, G., Shen, X., Wang, L., & Jiang, N. (2026). A novel reduced-order model and two-stage optimization strategy for high-efficiency predicting thermal-hydraulic behavior in a 6×6 fuel bundle. Progress in Nuclear Energy, 191, 106032.
6. Min, G., Shen, X., Xue, J., Wang, L., & Jiang, N. (2026). Data-fusion-based variable-fidelity reduced-order model for accurate thermal-hydraulic behavior prediction in a 6×6 rod bundle. Annals of Nuclear Energy, 226, 111905.
7. Min, G., Wang, L., & Jiang, N. (2024). Rapid predictions of pressure and velocity fields in a 5×5 bending fuel assembly based on a POD-based black-box model. Annals of Nuclear Energy, 207, 110741.
8. Min, G., Wang, L., & Jiang, N. (2024). The reduced-order model of 5×5 fuel rod bundles. Physics of Fluids, 36(4).
9. Min, G., Ma, Y., Wang, Y., & Jiang, N. (2024). Flow fields prediction for data-driven model of 5×5 fuel rod bundles based on POD-RBFNN surrogate model. Nuclear Engineering and Design, 422, 113117.
10. Min, G., & Jiang, N. (2024). Data-driven identification and pressure fields prediction for parallel twin cylinders based on POD and DMD method. Physics of Fluids, 36(2).
11. Min, G., & Jiang, N. (2024). Flow fields prediction for data-driven model of parallel twin cylinders based on POD-RBFNN and POD-BPNN surrogate models. Annals of Nuclear Energy, 199, 110342.

发明专利

1. 姜乃斌, 闵光云, 李捷, 等. 一种基于数据驱动的堆内流场流动特征和流体激励仿真方法: ZL202210611937.7[P]. 2025-01-28.
2. 姜乃斌, 闵光云. 一种基于数据驱动的缩聚方法及系统: ZL202410476787.2[P]. 2025-03-28.
3. 姜乃斌, 闵光云, 吴文斌, 等. 一种大型压水堆堆芯结构流致振动的数字反应堆仿真分析方法: ZL202210611896.1[P]. 2025-06-17.
4. 唐江, 姜乃斌, 闵光云. RBF神经网络驱动的液态铅铋合金的管道冲蚀寿命预测方法及系统: ZL202410428206.8[P]. 2025-11-14.

软件著作

1. 闵光云, 杨宏宇, 姜乃斌. 传递矩阵-有限元双方法对梁结构的位移计算及对比分析系统V1.0[CP/OL]. 2026-06-08.
2. 闵光云, 侯孟林, 杨宏宇, 姜乃斌. 地震波加速度反应谱转时程合成系统V1.0[CP/OL]. 2026-06-08.
3. 闵光云, 杨宏宇, 姜乃斌. 相干谱重构驱动的时程信号高保真扩展系统V1.0[CP/OL]. 2026-06-10.
4. 闵光云, 李沂垅, 姜乃斌. 基于Fluent的流场壁面时程力与湍动能监测工具V1.0[CP/OL]. 2026-06-08.

学术活动

1. Shen, X., Jiang, N., Min, G. Advances in Thermal–Hydraulic and Multiphase Flow Research in Nuclear Engineering, Fluids, 2026-01-01至2026-11-13  (专题期刊、助理编辑）
2. Min, G., & Jiang, N. Flow Fields Stability Analysis of 5×5 Fuel Assembly Based on POD and DMD methods, Transactions of the SMiRT 27, Yokohama, Japan, 2024-03-03至2024-03-08 (会议报告)
3. 闵光云, 刘俊永, 侯孟林, 杨宏宇, 姜乃斌. 基于传递矩阵法的螺旋十字燃料棒流致振动响应分析, 2025年全国流动安全与控制学术研讨会, 中国杭州, 2025-12-05至2025-12-07 (会议报告)
4. 姜乃斌, 闵光云. 数据驱动的压水堆内流场特征与流致振动分析方法研究, 能源工程中的流固耦合前沿问题研讨会, 中国深圳, 2025-11-01至2025-11-03 (会议报告)