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physics.geo-ph2023★ 2 cited
Physics-informed neural network for seismic wave inversion in layered semi-infinite domain
Pu Ren, Chengping Rao, Hao Sun +1
Estimating the material distribution of Earth's subsurface is a challenging task in seismology and earthquake engineering. The recent development of physics-informed neural network…
physics.geo-ph2022★ 5 cited
SeismicNet: Physics-informed neural networks for seismic wave modeling in semi-infinite domain
Pu Ren, Chengping Rao, Su Chen +3
There has been an increasing interest in integrating physics knowledge and machine learning for modeling dynamical systems. However, very limited studies have been conducted on sei…