Physics informed neural network for forward and inverse multispecies contaminant transport with variable parameters

• Published in: Journal of hydrology (Amsterdam) Vol. 655; p. 132977
• Main Authors: Hou, Qingzhi, Xu, Xiaolong, Sun, Zewei, Wang, Jianping, Singh, Vijay P.
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.07.2025
• Subjects: Convection–diffusion-reaction systems; dispersibility; groundwater; Inverse problem; Multispecies transport; Physics-informed neural network; space and time; Variable parameter; Variable parameter; Physics-informed neural network; Multispecies transport; Convection–diffusion-reaction systems; Inverse problem

•Multicomponent system with variable coefficients is studied by PINN for the first time.•Locally adaptive residual network is used to solve the nonlinear transport system.•Probabilistic point selection strategy is introduced for collocation points resampling.•The error of RP-PINN is one order of mag...