Pu Ren

PhySR. Physics-informed deep super-resolution of spatiotemporal data

PhyCRNet. Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs

seismic_modeling. SeismicNet: Physics-informed neural networks for seismic wave modeling in semi-infinite domain

cgm-gm. Conditional generative models for earthquake ground motions

PeRCNN_RK4. A high-order physics-encoded network for learning spatiotemporal dynamics

equation-discovery. Physics-informed refinement learning for equation discovery

seismic_modeling_inverse. Physics-informed neural networks for seismic inversion