2015.08 - 2020.10 清华大学工程物理系 核科学与技术 博士
2019.06 - 2020.06 瑞典皇家理工学院 物理中心 联合培养
2016.05 - 2017.05 中国广核集团 中广核研究院 联合培养
2011.09 - 2015.06 武汉大学动力与机械学院 核工程与核技术 本科

2020.10 - 至今 上海交通大学 英亚体育国际官网/核科学与工程学院 助理教授、博士生导师

2015.05 - 2015.08 中国核工业集团 武汉核动力运行研究所 实习
2017.05 - 2017.07 中国科学院 上海应用物理研究所 实习
2018.06 - 2018.08 国家电力投资集团 上海核工程研究设计院 实习

核反应堆物理与辐射屏蔽计算；
蒙特卡罗方法研究与程序开发；
稀缺同位素生产及其精细化中子学模型；

（常年招收博士/硕士研究生，欢迎联系）

1. XXXX反应单元气冷技术研究，中国运载火箭技术研究院，项目负责人；
2. 先进蒙特卡罗方法研究与程序开发，上海交通大学启动项目，项目负责人；
3. 基于空间耦合-响应关系的蒙卡临界计算全局减方差方法研究，上海市科技委，项目负责人；
4. 非均匀变分节块法全堆输运方法研究，中国核动力研究设计院，项目负责人；
5. 国防科技重点实验室基金一期，超钚同位素生产XXX，项目负责人；
6. 国防科技重点实验室基金二期，超钚元素辐照XXX，项目负责人；
7. 数值反应堆蒙卡程序外协开发，国家重点研发计划/中国原子能科学研究院外协项目，225万，主要参与人；
8. 大规模并行Monte Carlo程序，中国核动力研究设计院横向课题，495万，主要参与人员；
9. 上海市自然科学基金面上项目，XXX轻量化屏蔽设计与优化，项目负责人；
10. 中核集团青年英才启明星项目，项目负责人；
11. 国家自然科学基金青年基金，项目负责人；
12. 上海市教委晨光计划项目，项目负责人。

图书：
潘清泉，RMC屏蔽模块再开发与先进减方差方法研究，清华大学出版社，ISBN：9787302630487

[1] Q. Pan*, N. An, T. Zhang, et al. Single-step Monte Carlo criticality algorithm. Computer Physics Communications, 2022, 279, 108439.
[2] Q. Pan*, H. Lv, S. Tang, et al. Pointing Probability Driven Semi-Analytic Monte Carlo Method (PDMC) – Part I: Global Variance Reduction for Large-scale Radiation Transport Analysis. Computer Physics Communications, 2023, 291, 108850.
[3] Q. Pan*, L. Wang, Y. Cai, et al. Density-extrapolation Global Variance Reduction (DeGVR) Method for Large-scale Radiation Field Calculation. Computers and Mathematics with Applications, 2023, 143, 10-22.
[4] Q. Pan*, Q. Zhao, L. Wang, et al. Rapid Diagnosis Method for Transplutonium Isotopes Production in High Flux Reactor. Nuclear Science and Techniques, 2023, 34, 44. (当期封面论文)
[5] Q Pan*, Y Cai, L Wang et al. Source extrapolation scheme for Monte Carlo criticality calculation based on RMC code. Annals of Nuclear Energy, 2022, 166, 108737.
[6] Q Pan*, K Wang. Uniform Variance Method for Accelerated Monte Carlo Criticality Calculation. Progress in Nuclear Energy, 2021, 139, 103858.
[7] Q Pan*, T Zhang, X Liu, et al. Optimal batch size growth for Wielandt method and Superhistory method. Nuclear Science and Engineering, 2021, 196(2), 183-192.
[8] Q Pan*, T Zhang, X Liu et al. SP3-Coupled Global Variance Reduction Method Based On RMC Code. Nuclear Science and Techniques, 2021, 32, 122.
[9] Q Pan, J Rao, S Huang*, et al. Improved adaptive variance reduction algorithm based on RMC code for deep penetration problems. Annals of Nuclear Energy, 2020, 137:1-8.
[10] Q Pan*. K Wang. Acceleration method of fission source convergence based on RMC code. Nuclear Engineering and Technology, 2020, 52(7):1347-1354.
[11] Q Pan*, K Wang. An adaptive variance reduction algorithm based on RMC code for solving deep penetration problems. Annals of Nuclear Energy, 2019, 128:171-180.
[12] Q Pan*, K Wang. One-step Monte Carlo global homogenization based on RMC code. Nuclear Engineering and Technology, 2019, 51:1209-1217.
[13] Q Pan*, J Rao, K Wang, et al. The optimal source bias method based on RMC code. Annals of Nuclear Energy, 2018, 121:525-530.
[14] Q Pan*, H Lu, D Li, et al. The differences between the two forms of semi- analytical nodal methods on solving the SP3 equations. Nuclear Engineering and Radiation Science, 2018, 4:1-6.
[15] Q Pan*, H Lu, D Li, et al. A new nonlinear iterative method for SPN theory. Annals of Nuclear Energy, 2017, 110:920-927.
[16] Q. Pan*, Y. Cai, L. Wang, et al. Improved Wielandt method with real-time error tolerance based on NLSP3 code. Annals of Nuclear Energy, 2023, 182, 109621.
[17] Q. Pan*, H. Lv, S. Tang, et al. MAGIC-GPS Global Variance Reduction Method for Large-scale Shielding Calculation. Nuclear Engineering and Design, 2023, 414, 112581.
[18] Q. Pan, S. Zheng, X. Liu. Deep-coupling Neural Network and Genetic Algorithm Based on Sobol-PR for Reactor Lightweight Shielding Optimization. Knowledge-Based Systems, 2023.
[19] Q. Zhao, Q. Pan*, L. Wang, et al. Neutron Spectrum Optimization for Cf-252 Production based on Key Nuclides Analysis. Radiation Physics and Chemistry, 2023, 214, 111294.
[20] S. Zheng, Q. Pan*, H. Lv, et al. Semi-empirical and semi-quantitative lightweight shielding design algorithm. Nuclear Science and Techniques, 2023, 34, 43.
[21] S. Zheng, Q. Pan, D. He, et al. Reactor Lightweight Shielding Optimization Method Based on Parallel Embedded Genetic Particle-Swarm Hybrid Algorithm. Progress in Nuclear Energy, 2023, 168, 105040.
[22] Q. Yang, Q. Pan, H. He, T. Zhang, X. Liu. Improved design of LBE cooled solid reactor using 3D neutronics thermal-hydraulics coupling method. Annals of Nuclear Energy, 2022, 179, 109441.
[23] Q. Yang, Q. Pan, X. Liu. Analysis of lead-bismuth eutectic-cooled solid reactor under flow blockage accident by 3D neutronics thermal-hydraulics coupling method. Nuclear Engineering and Design, 2023, 407, 112313.
[24] Q. Yang, Q. Pan. X. Liu. Burnup-control drum coupling characteristics investigation of lead-bismuth eutectic-cooled solid reactor. Annals of Nuclear Energy, 2023, 193, 110018.
[25] N. An, Q. Pan, X. Guo, S. Huang, K. Wang. A new functional expansion tallies (FET) method based on cutting track-length estimation in RMC code. Nuclear Engineering and Design, 2022, 391, 111736.
[26] W. Li, Q. Xie, Q. Pan, T. Zhang, X. Chai, X. Liu. A multi-region algorithm for N-TH coupling calculation and its application to nuclear thermal propulsion reactor. Annals of Nuclear Energy, 2023, 184, 109696.
[27] H. He, X. Liu, Q. Pan, Q. Lu, Q. Ren, L. Pan. Experimental and theoretical study on formation of interfacial waves on liquid film of annular two-phase flow. Nuclear Engineering and Design, 2022, 389, 111683.
[28] T. Zhang, H. Yin, X. Li, D. She, Q. Pan, D. He, X. Liu. Studies on calculation models of ASTRA critical facility benchmark using OpenMC. Annals of Nuclear Energy, 2021, 158, 108291.
[29] W. Xiao, Q. Sun, X. Liu, H. He, D. He, Q. Pan, T. Zhang. Application of stiffness confinement method within variational nodal method for solving time-dependent neutron transport equation. Computer Physics Communications, 2022, 279, 108450.
[30] P. Shen, X. Guo, K. Li, S. Huang, L. Zheng, Q. Pan, K. Wang. Research on global neighbor list method in Monte Carlo code RMC. Annals of Nuclear Energy, 2022, 167, 108861.

《程序设计思想与方法C++》，本科生，工科平台课，课时：80
《蒙特卡罗方法及其在核能技术中的应用》(课程负责人)，研究生，专业前沿课，课时：48
《核反应堆物理》，本科生，专业必修课，课时：48

专利16项（第一著作权人11项）
1. 加速蒙卡临界计算的裂变源外推方法. 发明专利：ZL202110001804.3.
2. 基于蒙卡临界计算的反应堆全局方差均匀分布的实现方法. 发明专利：ZL202110513847.X
3. 基于蒙卡临界计算单步法的堆芯三维功率快速构建方法. 发明专利：ZL202110890719.7
4. 含强放射源的三维辐射剂量场的半物理仿真技术. 发明专利: CN202210464808.X
5. 基于指向蒙卡方法的大型辐射剂量场建模技术. 发明专利: CN202210437148.6
6. 半经验-半定量的小型反应堆轻量化屏蔽设计方法，发明专利：CN202211259018.4
7. 基于能谱环境的超钚同位素生产效率快速评估方法，发明专利：CN202211126698.2
8. 超钚同位素生产中的能谱过滤系统，发明专利：CN2023102913583

软著4项（第一著作权人1项）
1. 基于简化球谐函数的堆芯计算软件NLSP3. 软件著作权：2021SR0437527.
2. 反应堆蒙特卡罗软件[简称：RMC]V3.5. 软件著作权：2020SR0674783
3. 热管冷却反应堆多物理耦合软件[简称:MPCH]. 软件著作权：2022R11L0980856
4. 压水堆氧化腐蚀产物沉积层CRUD流动传热耦合溶质传递分析软件，软件著作权：2022R11L0848585

中国核学会计算物理分会蒙特卡罗方法及其应用专业委员会，委员
《Nuclear Analysis》青年编委

研究生国家奖学金 2017 2018 2019
2021年北京市优秀毕业生
2021年上海市科委扬帆计划
2021年清华大学优秀博士论文
2022年中核集团青年英才“启明星”
2023年上海市教委晨光计划
2023年Nuclear Engineering and Technology杰出审稿人
2023年中国核工业教育学会优秀博士论文一等奖