S Basir, I Senocak - Journal of Computational Physics, 2022 - Elsevier
Physics-informed neural networks (PINNs) have been proposed to learn the solution of partial differential equations (PDE). In PINNs, the residual form of the PDE of interest and its …
S Basir - arXiv preprint arXiv:2209.09988, 2022 - arxiv.org
This paper explores the difficulties in solving partial differential equations (PDEs) using physics-informed neural networks (PINNs). PINNs use physics as a regularization term in …
Y ZHANG, X LI - Progress in geophysics, 2017 - en.dzkx.org
Ground-airborne transient electromagnetic method (TEM) has got much attention when the exploration targets of TEM switches to areas with unfavorable and complicated geological …
HF SUN, SB LIU, Y Yang - Chinese Journal of Geophysics, 2021 - en.dzkx.org
The time-domain finite-difference (FDTD) method defines the spatial position of the electromagnetic field using the Yee grid and can simulate the propagation of the …