2 papers
cs.LG2025
Enhanced BPINN Training Convergence in Solving General and Multi-scale Elliptic PDEs with Noise
Yilong Hou, Xi'an Li, Jinran Wu +1
Bayesian Physics Informed Neural Networks (BPINN) have attracted considerable attention for inferring the system states and physical parameters of differential equations according…
math.NA2025
Normalized Fourier-induced PINN method for solving the wave propagation equation in a non-unitized domain over an extended time range
Jichao Ma, Dandan Liu, Jinran Wu +1
Physics-Informed Neural Networks (PINNs) have gained significant attention for their simplicity and flexibility in engineering and scientific computing. In this study, we introduce…