Sensor placement in nuclear reactors based on the generalized empirical interpolation method JP Argaud, B Bouriquet, F De Caso, H Gong, Y Maday, O Mula Journal of Computational Physics 363, 354-370, 2018 | 67 | 2018 |
Data-enabled physics-informed machine learning for reduced-order modeling digital twin: application to nuclear reactor physics H Gong, S Cheng, Z Chen, Q Li Nuclear Science and Engineering 196 (6), 668-693, 2022 | 57 | 2022 |
Stabilization of (G) EIM in presence of measurement noise: application to nuclear reactor physics JP Argaud, B Bouriquet, H Gong, Y Maday, O Mula Spectral and High Order Methods for Partial Differential Equations ICOSAHOM …, 2017 | 45 | 2017 |
An efficient digital twin based on machine learning SVD autoencoder and generalised latent assimilation for nuclear reactor physics H Gong, S Cheng, Z Chen, Q Li, C Quilodrán-Casas, D Xiao, R Arcucci Annals of nuclear energy 179, 109431, 2022 | 34 | 2022 |
PBDW method for state estimation: error analysis for noisy data and nonlinear formulation H Gong, Y Maday, O Mula, T Taddei arXiv preprint arXiv:1906.00810, 2019 | 29 | 2019 |
An inverse-distance-based fitting term for 3D-Var data assimilation in nuclear core simulation H Gong, Y Yu, Q Li, C Quan Annals of Nuclear Energy 141 (2020), 107346, 2020 | 22 | 2020 |
Reactor power distribution detection and estimation via a stabilized gappy proper orthogonal decomposition method H Gong, Y Yu, Q Li Nuclear Engineering and Design 370, 110833, 2020 | 21 | 2020 |
Optimal and fast field reconstruction with reduced basis and limited observations: Application to reactor core online monitoring H Gong, Z Chen, Y Maday, Q Li Nuclear Engineering and Design 377, 111113, 2021 | 20 | 2021 |
Parameter identification and state estimation for nuclear reactor operation digital twin H Gong, T Zhu, Z Chen, Y Wan, Q Li Annals of Nuclear Energy 180, 109497, 2023 | 15 | 2023 |
The Empirical Interpolation Method applied to the neutron diffusion equations with parameter dependence H Gong, JP Argaud, B Bouriquet, Y Maday Proceedings of PHYSOR, 2016 | 15 | 2016 |
Fast solution of neutron diffusion problem with movement of control rods G Helin, C Wei, Z Chunyu, C Gong Annals of Nuclear Energy 149, 107814, 2020 | 12 | 2020 |
Robust filtering for dynamic compensation of self-powered neutron detectors X Peng, Q Li, W Zhao, H Gong, K Wang Nuclear Engineering and Design 280, 122-129, 2014 | 11 | 2014 |
Data assimilation with reduced basis and noisy measurement: Applications to nuclear reactor cores H Gong Sorbonne Université, 2018 | 10 | 2018 |
A data-enabled physics-informed neural network with comprehensive numerical study on solving neutron diffusion eigenvalue problems Y Yang, H Gong, S Zhang, Q Yang, Z Chen, Q He, Q Li Annals of Nuclear Energy 183, 109656, 2023 | 9 | 2023 |
Generalized Empirical Interpolation Method With H1 Regularization: Application to Nuclear Reactor Physics H Gong, Z Chen, Q Li Frontiers in Energy Research, 897, 2022 | 7 | 2022 |
Neutron noise calculation: A comparative study between SP3 theory and diffusion theory H Gong, Z Chen, W Wu, X Peng, Q Li Annals of Nuclear Energy 156, 108184, 2021 | 7 | 2021 |
Monitoring flux and power in nuclear reactors with data assimilation and reduced models H Gong, JP Argaud, B Bertrand, Y Maday, O Mula M&C 2017 - International Conference on Mathematics & Computational Methods …, 2017 | 7 | 2017 |
A data-driven strategy for xenon dynamical forecasting using dynamic mode decomposition H Gong, Y Yu, X Peng, Q Li Annals of Nuclear Energy 149, 107826, 2020 | 6 | 2020 |
Study of non-intrusive model order reduction of neutron transport problems C Wei, Y Di, Z Junjie, Z Chunyu, G Helin, X Bangyang, Q Yan, W Lianjie Annals of Nuclear Energy 162, 108495, 2021 | 4 | 2021 |
ReLU-KAN: New Kolmogorov-Arnold Networks that Only Need Matrix Addition, Dot Multiplication, and ReLU Q Qiu, T Zhu, H Gong, L Chen, H Ning arXiv preprint arXiv:2406.02075, 2024 | 3 | 2024 |