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- Peking UniversityCN249 papers
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Showing 2023 · math.NAShow all
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math.NA2023★ 33 cited
A deep learning method for multi-material diffusion problems based on physics-informed neural networks
Yanzhong Yao, Jiawei Guo, Tongxiang Gu
Given the facts of the extensiveness of multi-material diffusion problems and the inability of the standard PINN(Physics-Informed Neural Networks) method for such problems, in this…
math.NA2023★ 1 cited
A nearly optimal explicitly-sparse representation for oscillatory kernels with curvelet-like functions
Yanchuang Cao, Jun Liu, Dawei Chen
A nearly optimal explicitly-sparse representation for oscillatory kernels is presented in this work by developing a curvelet based method. Multilevel curvelet-like functions are co…