Hybrid Finite Difference with the Physics-informed Neural Network for solving PDE in complex geometries

Zixue Xiang, Wei Peng, Weien Zhou +1

The physics-informed neural network (PINN) is effective in solving the partial differential equation (PDE) by capturing the physics constraints as a part of the training loss funct…