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1. Research On Solving Partial Differential Equations Based On Physical Information Embedding Neural Network
2. Deep Learning For Generative Model And Numerical PDEs
3. Applications Research Of Adaptive Physical-informed Neural Networks In Bayesian Inverse Problems
4. Neural Network Method For Solving Forward And Inverse Problems Of Navier-Stokes/Darcy Coupling Model
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