Global physics-informed neural networks (GPINNs): from local point-wise constraint to global nodal association

Feng Chen, Yiran Meng, Kegan Li +2

Recently, physics-informed neural networks (PINNs) and their variants have gained significant popularity as a scientific computing method for solving partial differential equations…