most citedFinite Volume Graph Network(FVGN): Predicting unsteady incompressible fluid dynamics with finite volume informed neural network

35 citations · 45 across the 3 of their papers we have counts for

collaborators
Showing cs.LGShow all

1 paper · 1 filter

cs.LG2024★ 10 cited

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…