5 citations · 5 across the 2 of their papers we have counts for
2 papers
cs.LG2023
Physics Symbolic Learner for Discovering Ground-Motion Models Via NGA-West2 Database
Su Chen, Xianwei Liu, Lei Fu +3
Ground-motion model (GMM) is the basis of many earthquake engineering studies. In this study, a novel physics-informed symbolic learner (PISL) method based on the Nest Generation A…
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…