Level-set physics-informed neural networks for domain inverse problems of gravimetry

Jingnan Yao, Wenbin Li, Jianliang Qian

We propose level-set physics-informed neural networks (PINNs) for domain inverse problems of gravimetry. The domain inverse problem establishes a correctness class for ill-posed in…