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20222026
most citedA data-enabled physics-informed neural network with comprehensive numerical study on solving neutron diffusion eigenvalue problems

2 citations · 4 across the 7 of their papers we have counts for

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Showing 2023 · math.NAShow all

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math.NA2023

Moving Sampling Physics-informed Neural Networks induced by Moving Mesh PDE

Yu Yang, Qihong Yang, Yangtao Deng +1

In this work, we propose an end-to-end adaptive sampling neural network (MMPDE-Net) based on the moving mesh method, which can adaptively generate new sampling points by solving th…