Physics-Informed Neural Networks for Source Inversion and Parameters Estimation in Atmospheric Dispersion
arXiv:2512.07755v2 Announce Type: replace
Abstract: Recent studies have shown the success of deep learning in solving forward and inverse problems in engineering and scientific computing domains, such as physics-informed neural networks (PINNs). In th…