1. Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations;Raissi;J. Comput. Phys.,2019
2. Physics-informed neural networks (PINNs) for fluid mechanics: A review;Cai;Acta Mech. Sin.,2021
3. Respecting causality is all you need for training physics-informed neural networks;Wang,2022
4. Self-adaptive physics-informed neural networks using a soft attention mechanism;McClenny,2020
5. About optimal loss function for training physics-informed neural networks under respecting causality;Es’ kin,2023