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Author

Yixuan Wang

2 papers indexed here

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#machine learning Preprint Nov 2022

FC-PINO: High Precision Physics-Informed Neural Operators via Fourier Continuation

The FC-PINO (Fourier-Continuation-based Physics-Informed Neural Operator) architecture is introduced, which extends the accuracy and efficiency of PINO and spectral differentiation to non-periodic and non-smooth PDEs and demonstrates that Fourier continuation is critical for extending PINO to a wider range of PDE probl...

Ha Maust, Valentin Duruisseaux, Zong-Yi Li et al. · 16 citations
#artificial intelligence Preprint Aug 2026

SS-ESOAP: Self-Scaled Adaptive Preconditioning for Physics-Informed Learning

Method is introduced, which augments SOAP-style preconditioning with a scalar secant-energy correction adapted to Kronecker geometry and an adaptive basis update followed by variance-state downscaling, and is positioned as a scalable option for stiff, high-accuracy physics-informed training, rather than a uniform repla...

Guang-Yuan Wang, Mads Toftrup, Sebastian Loeschcke et al. · 0 citations

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