most citedSolving Partial Differential Equations with Point Source Based on Physics-Informed Neural Networks

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cs.LG2021★ 12 cited

Solving Partial Differential Equations with Point Source Based on Physics-Informed Neural Networks

Xiang Huang, Hongsheng Liu, Beiji Shi +11

In recent years, deep learning technology has been used to solve partial differential equations (PDEs), among which the physics-informed neural networks (PINNs) emerges to be a pro…

cs.LG2021

Meta-Auto-Decoder for Solving Parametric Partial Differential Equations

Xiang Huang, Zhanhong Ye, Hongsheng Liu +11

Many important problems in science and engineering require solving the so-called parametric partial differential equations (PDEs), i.e., PDEs with different physical parameters, bo…