Finite-difference-informed graph network for solving steady-state incompressible flows on block-structured grids

Yiye Zou, Tianyu Li, Lin Lu +4

Advances in deep learning have enabled physics-informed neural networks to solve partial differential equations. Numerical differentiation using the finite-difference (FD) method i…