Projection-based segregated, iterative, and multi-stage physics-informed neural network for incompressible Navier-stokes equations

Zhenyu Zhang, Zhixiang Ling, Yinghao Huo +2

Physics-informed neural networks(PINNs) offer a mesh-free and continuously differentiable approach to fluid simulation. However, standard monolithic PINNs for incompressible Navier…