实体 Physics Informed Neural Networks (PINNs) For Approximating Nonlinear Dispersive PDEs

Physics Informed Neural Networks (PINNs) For Approximating Nonlinear Dispersive PDEs

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RESEARCH · CL_48913 · May 22 · 09:01

New optimization technique boosts accuracy for complex physics neural networks

Researchers have developed a new optimization technique called SOAP+GN to improve the accuracy of physics-informed neural networks (PINNs) when dealing with complex, coupled multiphysics systems. This method addresses a…

New optimization technique boosts accuracy for complex physics neural networks