PPINN: Parareal physics-informed neural network for time-dependent PDEs

2020/07/08 by Xuhui Meng, Zhen Li, Dongkun Zhang +1 · 20 citations
Physics and Astronomy · Computer Science · #Model Reduction and Neural Networks #Neural Networks and Reservoir Computing #Neural Networks and Applications

paper · doi:10.1016/j.cma.2020.113250

Citations

• Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations
• A composite neural network that learns from multi-fidelity data: Application to function approximation and inverse PDE problems
• DeepXDE: A Deep Learning Library for Solving Differential Equations

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