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Mitigating Propagation Failures in Physics-Informed Neural Networks Using Retain-Resample-Release (R3) Sampling by matheus.s.bueno22 is a document available to read on EtoBox.

What is Mitigating Propagation Failures in Physics-Informed Neural Networks Using Retain-Resample-Release (R3) Sampling about?

The document discusses the limitations of physics-informed neural networks (PINNs) in solving complex partial differential equations (PDEs) due to propagation failures, where solutions do not effectively transfer from initial/boundary conditions to interior points. It introduces a novel Retain-Resample-Release (R3) sampling algorithm designed to mitigate these failures by dynamically focusing on regions with high PDE residuals during training. The paper empirically demonstrates that R3 improves convergence

Author

matheus.s.bueno22

Language

EN