潘清泉 副教授
所在系所:核科学与工程学院 |
2020.10 - 至今 上海交通大学 机械与动力工程学院/核科学与工程学院 助理教授、博士生导师
2024.1 - 至今 上海交通大学 机械与动力工程学院/核科学与工程学院 副教授、博士生导师
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. 上海市教育委晨光计划项目,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.
《核反应堆物理》,本科生,专业必修课,课时:48
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
地址:中国·上海市闵行区东川路800号 200240
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