DAS-PINNs: A deep adaptive sampling method for solving high-dimensional partial differential equations

2022/12/28 by Kejun Tang, Xiaoliang Wan, Chao Yang · 20 citations
Physics and Astronomy · Decision Sciences · Engineering · #Model Reduction and Neural Networks #Probabilistic and Robust Engineering Design #Numerical methods in engineering

paper · doi:10.1016/j.jcp.2022.111868

Citations

• Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations

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