期刊文章
1. Lizhan Hong, Helin Gong,∗, Hongjun Ji, Jialiang Lu, Han Li, Qing Li. On the Accuracy and Efficiency of the Reactor Operation Digital Twin for Parameter Identification and State Estimation. 2023. Nuclear Science and Techniques.
2. Han Li, Jialiang Lu, Hongjun Ji, Lizhan Hong, Helin Gong*. A noise and vibration tolerant ResNet for field reconstruction with sparse sensors. 2023. Communications in Computational Physics.
3. Helin Gong, Han Li, Dunhui Xiao, Sibo Cheng*. Reactor field reconstruction from sparse and movable sensors with Voronoi tessellation-assisted convolutional neural networks. 2023. Nuclear Science and Techniques.
4. Jiaqin Zeng, Haixiang Zhang, Helin Gong*, Yingting Luo*. An Ensemble Bayesian Method for Parameter Distribution Inference: Application to Reactor Physics. 2023. Nuclear Science and Techniques.
5. Jianpeng Liu, Helin Gong∗, Zhiyong Wang*, Qing Li. Uncertainty analysis of dynamic mode decomposition for xenon dynamic forecasting. Annals of Nuclear Energy. 2023. 194. 110106.[SCI]
6. Yang, Q.; Yang, Y.; Deng, Y.; He, Q.*; Gong, H.*; Zhang, S. Physics-Constrained Neural Network for Solving Discontinuous Interface K-eigenvalue Problem with Application to Reactor Physics. Nuclear Science and Techniques. 2023.[SCI]
7. 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.
8. 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]
9. 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]
10. 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]
11. 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]
12. 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]
13. 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]
14. 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]
15. 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]
16. 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]
17. 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]
18. 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]
19. 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]
20. 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]
21. 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]
22. 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]
23. 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]
24. 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]
25. 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.
26. 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]
27. 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]
会议文章
[1] 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.
[2] 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.
[3] 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.
[4] 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.
[5] 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.
[6] 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.
