Jiang-Wei Zhang

Physics-Informed Neural Networks for One-Dimensional Groundwater Contaminant Transport: A Synthetic Numerical Study of Prediction and Parameter Inversion

This study developed a physics-informed neural network (PINN) surrogate model for a one-dimensional synthetic groundwater contaminant-transport problem with adsorption, using Crank–Nicolson numerical solutions as the reference data. The effects of observation density and noise on predictive accuracy, training uncertain...