Adaptive Grid Generation by Solving the Two-Dimensional Diffusion Equation Using Physics-Informed Neural Networks
Adaptive computational grids improve the accuracy and efficiency of numerical simulations by concentrating nodes in regions of particular interest, but classical adaptation methods based on differential equations are often computationally expensive and geometry-dependent. This study proposes a physics-informed neural n...