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This paper introduces a novel method for solving partial differential equations (PDEs) by combining U-Net neural networks with Fourier neural operators, enhancing both accuracy and efficiency. The integration allows for effective spatial and frequency-domain feature extraction, reducing the model

Author

hazmat2324

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EN