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 · 144 citations · Full text

Engineering, Nuclear Engineering, Physics +17

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 · 72 citations · Full text

Engineering, Computer Science, Nuclear Engineering +17

Parameter identification and state estimation for nuclear reactor operation digital twin

Helin Gong, Tao Zhu, Zhang Chen et al. · Annals of Nuclear Energy · 2022 · 49 citations

Engineering, Nuclear Engineering, Systems Engineering +16

Optimal and fast field reconstruction with reduced basis and limited observations: Application to reactor core online monitoring

Helin Gong, Zhang Chen, Yvon Maday et al. · Nuclear Engineering and Design · 2021 · 33 citations

Engineering, Nuclear Engineering, Nuclear Instrumentation +15

A data-enabled physics-informed neural network with comprehensive numerical study on solving neutron diffusion eigenvalue problems

Yu Yang, Helin Gong, Shiquan Zhang et al. · Annals of Nuclear Energy · 2022 · 30 citations

Natural Sciences, Computational Engineering, Physics +10