Helin Gong

Data-Enabled Physics-Informed Machine Learning for Reduced-Order Modeling Digital Twin: Application to Nuclear Reactor Physics

Helin Gong, Sibo Cheng, Zhang Chen et al. · Nuclear Science and Engineering · 2022 · 124 citations · Full text

Reduced Order Modeling, Nuclear Reactor Physics, Machine Learning +17

Sensor placement in nuclear reactors based on the generalized empirical interpolation method

Jean‐Philippe Argaud, B. Bouriquet, F. de Caso et al. · Journal of Computational Physics · 2018 · 69 citations · Full text

Numerical Analysis, Engineering, Nuclear Engineering +10

An efficient digital twin based on machine learning SVD autoencoder and generalised latent assimilation for nuclear reactor physics

Helin Gong, Sibo Cheng, Zhang Chen et al. · Annals of Nuclear Energy · 2022 · 63 citations · Full text

Generalised Latent Assimilation, Nuclear Reactor Physics, Nuclear Physics +9

Parameter identification and state estimation for nuclear reactor operation digital twin

Helin Gong, Tao Zhu, Zhang Chen et al. · Annals of Nuclear Energy · 2022 · 43 citations

State Estimation, Nonlinear System Identification, Parameter Identification +9

An inverse-distance-based fitting term for 3D-Var data assimilation in nuclear core simulation

Helin Gong, Yingrui Yu, Qing Li et al. · Annals of Nuclear Energy · 2020 · 39 citations

Geophysics, Earth Science, Engineering +10