Research and Application of ROM Based on Res-PINNs Neural Network in Fluid System
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DOI: 10.3390/sym17020163
Abstract: In the design of fluid systems, rapid iteration and simulation verification are essential, and reduced-order modeling techniques can significantly improve computational efficiency and accuracy. However, traditional Physics-Informed Neural Networks (PINNs) often face challenges such as… read more here.
Keywords: fluid system; res pinns; model; fluid ... See more keywords