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

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cs.LG2023

On the uncertainty analysis of the data-enabled physics-informed neural network for solving neutron diffusion eigenvalue problem

Yu Yang, Helin Gong, Qihong Yang +3

In practical engineering experiments, the data obtained through detectors are inevitably noisy. For the already proposed data-enabled physics-informed neural network (DEPINN) \cite…