师资队伍 - 上海交通大学巴黎卓越工程师学院

龚禾林

信息工程中方协调人、长聘教轨副教授、博士生导师

信息工程

gonghelin@sjtu.edu.cn

SPEIT 316

上海交通大学副教授，博士生导师，曾任中国核动力研究设计院高级工程师，清华大学核工程与核技术专业本科、中国核动力研究设计院核能科学与工程专业硕士、法国索邦大学数学博士。面向国家先进核动力技术重大战略需求和下一代先进核能反应堆技术前沿，团队致力于发展人工智能驱动的反应堆实时数字孪生和智能支持技术，围绕“算得准、算得快”系统性开展人工智能驱动的理论建模、数值分析和专用软件开发技术研究，从基础理论和工程应用两个维度为我国核动力装置运行灵活性、机动性以及“华龙一号”等国家重大核能工程安全性、经济性和数字化、智能化提供支撑。主持国家重点研发计划、国家自然科学基金、上海市自然科学基金、国防科技工业核动力技术创新中心基金等各渠道课题多项。中法杰出青年计划学者，《原子能科学技术》青年编委，发表论文60余篇，提交国防科技报告4篇；获得国家发明专利授权14项；获得四川省科技进步二等奖、中国核能行业协会科学技术二等奖、中国专利优秀奖等多项科技奖励。

教育背景

2014-2018，索邦大学（法国），LJLL 实验室，应用数学，博士
2010-2013，中国核动力研究设计院，核能科学与工程，硕士
2006-2010，清华大学，工程物理系，核工程与核技术专业，学士

工作经历

2022-至今，上海交通大学巴黎卓越工程师学院，工程科学计算与数字孪生、AI for Science
2021-2022，中国核动力研究设计院，核反应堆系统数字孪生、数据挖掘研究
2018-2020，中国核动力研究设计院，数字反应堆研究、核能系统数据挖掘研究
2013-2014，中国核动力研究设计院，核反应堆在线监测系统研究

研究方向

1. 科学智能（AI for Science）：科学机器学习、物理与数据融合建模、人工智能辅助建模与优化
2. 工程科学计算：模型降阶、反问题与数据同化、状态重构与不确定性量化
3. 工业软件与数字孪生：大模型驱动的工业软件智能体、多物理场数字孪生、复杂系统在线监测与智能决策
4. 核能系统智能计算：反应堆物理与安全分析、核反应堆及聚变装置多物理耦合建模与仿真

科研项目

2025 ~ 2026 国家级,科技部国家重点研发计划：面向先进核能系统的多尺度数据同化人工智能方法,主持
2026 ~ 2029 国家级,国家自然科学基金重点项目：人工智能驱动数据与机理融合的反应堆系统数字孪生建模方法研究,课题主持
2019 ~ 2022 国家级,国家自然科学基金青年科学基金项目：基于模型降阶和数据同化的反应堆在线监测系统探测机理研究,主持
2021 ~ 2025 国家级,国家自然科学基金面上项目：多尺度反应堆物理动态行为预测关键技术研究,参与
2023 ~ 2025 省部级,上海市科学基金面上项目：基于实时数字孪生的核反应堆堆芯在线监测技术研究,主持
2026 ~ 2026 省部级,教育部产学合作协同育人项目师资培训项目：工业软件赋能国家卓越工程师培养师资培训,主持
2024 ~ 2026 国家级,基于人工智能的乏燃料后处理工艺数字化研究,课题主持
2025 ~ 2026 产学研合作项目,核电安全技术与装备全国重点实验室2024年度开放课题：AI和数字孪生驱动的华龙一号核反应堆运行边界预测研究,主持
2018 ~ 2022 国家级,预研项目：基于数据驱动的堆芯物理计算程序研究,主持

论文信息

Argaud, J.P; Bouriquet, B; Gong, H.*; Maday,Y; Mula,O. Sensor placement in nuclear reactors based on the Generalized Empirical Interpolation Method. Journal of Computational Physics, 2018, 363: 354-370. [SCI]
Shi, B., Qiu, Q., Gong, H., Li, Q., & Luo, Y. (2023, August). Noninvasive Data-Driven Prediction of Reactor Power Field: An MLP-Based Approach. In 2023 IEEE Smart World Congress (SWC) (pp. 1-6). IEEE.
Li, H., Lu, J., Ji, H., Hong, L., & Gong, H. (2023). A noise and vibration tolerant resnet for field reconstruction with sparse sensor. Communications in Computational Physics.
Jianpeng Liu, Zhiyong Wang, Qing Li. & Helin Gong*.A Hybrid Data Assimilation and Dynamic Mode Decomposition Approach for Xenon Dynamic Prediction of Nuclear Reactor Cores.Nuclear Science and Engineering, Taylor & Francis, 2024, 0, 1-19.
P. Zhang, H. Gong and K. Wang. Preliminary Study on Neutronics Characteristics of Thorium-based Supercritical Water-cooled Fast Reactor. The 5th Int. Sym. SCWR (ISSCWR-5). Vancouver, British Columbia, Canada, March 13-16, 2011.
H. Gong, J. P. Argaud, B. Bouriquet, and Y. Maday. The Empirical Interpolation Method applied to the neutron diffusion equations with parameter dependence. In Proceedings of PHYSOR 2016.
J.P. Argaud, B. Bouriquet, H. Gong, Y. Maday and O. Mula. Stabilization of (G)EIM in Presence of Measurement Noise: Application to Nuclear Reactor Physics. In Marco L. Bittencourt, Ney A. Dumont, and Jan S. Hesthaven, editors, Spectral and High Order Methods for Partial Differential Equations ICOSAHOM 2016, pages 133-145, Cham, 2017. Springer International Publishing.
H. Gong, J.P. Argaud, B. Bouriquet, Y. Maday and O. Mula. Monitoring flux and power in nuclear reactors with data assimilation and reduced models. In Proceedings of M&C 2017.
H. Gong, Q. Li, Y. Yu, and Y. Maday. “EIM in the frame of least-squares optimal interpolation method.” Annual meeting of Science and Technology on Reactor System Design Technology Laboratory. Chengdu, China, November 6, 2018.
H. Gong, Q. Li, Y. Yu, J.P. Argaud, B. Bouriquet, Y. Maday and O. Mula. A new data-driven approach for reconstruction with noisy data and physical constraints: application to nuclear reactor physics. In Proceedings of ICAPP 2019.
Z. Zhang, H. Liao, Q. Li, H. Gong, Z. Chen, X. Li, Q. Liu. Error Analysis of LPD On-line Monitoring System in HPR 1000. Nuclear Power Engineering, 2020,41(2): 11-15. [EI]
H. Gong, Z. Chen, Q. Li, S. Cheng. Study on a Data-Enabled Physics-Informed Reactor Physics Operational Digital Twin. Nuclear Power Engineering, 2021, 42(S2):48-53. [EI]
H. Gong, Z. Chen, W. Zhao, X. Peng, Q. Li and Y. Yu. Development of a neutron noise simulator with SP3 approximation. Nuclear Science and Engineering. 2021, 41(03)491-499.
H. Gong; Q. Li, Q. Liu, X. Li, Z. Lu, J. Wang, Y. Xie, Z. Chen, Y. Yu, X. Peng, K. Liu, R. Guo, B. Zhang and X. Wang. 2D1D Coupled Power Reconstruction Method for On-line Monitoring of PWRs. Atomic Energy Science and Technology, 2021,55(02): 272-278. [EI]
Gong, H.; Maday,Y; Mula,O; Taddei,T. PBDW method for state estimation: error analysis for noisy data and nonlinear formulation. arXiv e-prints, p. arXiv:1906. 00810, Jun 2019.[EI]
Peng,X*; Li,Q; Zhao,W; Gong, H.; Wang,K. Robust filtering for dynamic compensation of self-powered neutron detectors. Nuclear Engineering and Design,2014, 280: 122-129. [SCI]
Yang, Q. H., Yang, Y., Deng, Y. T., He, Q. L., Gong, H. L., & Zhang, S. Q. (2023). Physics-constrained neural network for solving discontinuous interface K-eigenvalue problem with application to reactor physics. Nuclear Science and Techniques, 34(10), 161.
Gong, H.; Yu,Y; Li,Q*; Quan, C.Y*. An inverse-distance-based fitting term for 3D-Var data assimilation in nuclear core simulation. Annals of Nuclear Energy, 2020, 141: 107346.[SCI]
Gong, H.*; Yu,Y; Li,Q*. Reactor power distribution detection and estimation via a stabilized gappy proper orthogonal decomposition method. Nuclear Engineering and Design, 2020, 370: 110833. [SCI]
Gong, H.*; Chen,W; Zhang,C.Y*; Chen,G. Fast solution of neutron diffusion problem with movement of control rods. Annals of Nuclear Energy, 2020, 149:107814. [SCI]
Gong, H.*; Chen,Z; Wu,W; Peng, X; Li,Q*. Neutron noise calculation: A comparative study between SP3 theory and diffusion theory. Annals of Nuclear Energy, 2021,156:108184. [SCI]
Chen, W.; Di, Y.; Zang, J.; Zhang, C.*; Gong, H.; Xia, B.; Quan, Y.; Wang, L. Study of non-intrusive model order reduction of neutron transport problems. Annals of Nuclear Energy. 2021, 162: 108495. [SCI]
Gong, H.*; Chen, Z.; Maday, Y. and Li, Q. Optimal and fast field reconstruction with reduced basis and limited observations: application to reactor core online monitoring. Nuclear Engineering and Design, 2021,377:111113. [SCI]
Gong, H.; Cheng, S.; Chen, Z. and Li, Q*. Data-Enabled Physics-Informed Machine Learning for Reduced-Order Modeling Digital Twin: Application to Nuclear Reactor Physics. Nuclear Science and Engineering, Taylor & Francis, 2022, 196, 668-693.[SCI]
Gong, H.; Chen, Z. and Li, Q*. Generalized Empirical Interpolation Method with H1 Regularization: Application to Nuclear Reactor Physics. Frontiers in Energy Research. 2022, 9:804018. [SCI]
Gong, H.; Cheng, S.; Chen, Z.; Li, Q.*; Quilodrán-Casas, C.; Xiao, D. and Arcucci, R. An efficient digital twin based on machine learning SVD autoencoder and generalised latent assimilation for nuclear reactor physics. Annals of Nuclear Energy. 179(2022):109431.[SCI]
Li,W.; Gong, H.; Zang, C*. Solution of Neutron Diffusion Problems by Discontinuous Galerkin Finite Element Method With Consideration of Discontinuity Factors. Journal of Nuclear Engineering and Radiation Science, 2023, 9(3), 031503. [SCI]
Yang, Y.; Gong, H.*; Zhang, S.*; Yang, Q.; Chen, Z.; He, Q. and Li, Q. A data-enabled physics-informed neural network with comprehensive numerical study on solving neutron diffusion eigenvalue problems. Annals of Nuclear Energy, 2023, 183, 109656.[SCI]
Gong, H.; Zhu, T.*; Chen, Z.; Wan, Y. and Li, Q*. Parameter identification and state estimation for nuclear reactor operation digital twin. Annals of Nuclear Energy,180(2023):109497.[SCI]
Yang, Y.; Gong, H.*; He, Q.*; Yang, Q.; Deng, Y.; Zhang, S. On the uncertainty analysis of the data-enabled physics-informed neural network for solving neutron diffusion eigenvalue problem. Nuclear Science and Engineering. 2023. DOI: 10.1080/00295639.2023.2236840.[SCI]
Gong Helin, Zhang Shiquan, Yvon Maday. THE OPTIMUM OF EIM MAGIC POINTS AND THE LEAST-SQUARES FORM[J]. Journal on Numerica Methods and Computer Applications, 2023, 44(1): 25-36.

专利著作

基于卡尔曼滤波的铑自给能探测器信号延迟消除方法
基于卡尔曼滤波的铑自给能探测器信号延迟消除方法.
基于 IIR 滤波的铑自给能探测器信号延迟消除方法
基于局部非线性修正的堆芯功率分布在线重构方法及系统
一种基于 SP3 方程的反应堆中子噪声分析方法
一种用于反应的 LPD 和 DNBR 在线保护和监测的实现方法
用于反应堆运行参数优化的数据同化方法、系统及终端
基于模型降阶和数据同化的堆芯功率分布在线监测方法及系统
一种反应堆堆芯核设计系统及应用

社会兼职

国防科技工业核动力技术创新中心基础理论部
四川省侨联特评专家委

获奖信息

华龙一号堆芯在线监测关键技术研发四川省科学技术进步二等奖
中国核能行业协会科学技术二等奖,第九完成人
中国专利优秀奖, 第五完成人
中核集团优秀国防科技报告