6 citations · 8 across the 2 of their papers we have counts for
2 papers
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…
cs.LG2022★ 6 cited
Physics-informed Deep Super-resolution for Spatiotemporal Data
Pu Ren, Chengping Rao, Yang Liu +4
High-fidelity simulation of complex physical systems is exorbitantly expensive and inaccessible across spatiotemporal scales. Recently, there has been an increasing interest in lev…