Search Results for author: Hanting Guan

Found 1 papers, 1 papers with code

Revisiting PINNs: Generative Adversarial Physics-informed Neural Networks and Point-weighting Method

1 code implementation18 May 2022 Wensheng Li, Chao Zhang, Chuncheng Wang, Hanting Guan, DaCheng Tao

Physics-informed neural networks (PINNs) provide a deep learning framework for numerically solving partial differential equations (PDEs), and have been widely used in a variety of PDE problems.

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