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MOD-Net: A Machine Learning Approach via Model-Operator-Data Network for Solving PDEs

Journal Article

MOD-Net: A Machine Learning Approach via Model-Operator-Data Network for Solving PDEs

Communications in Computational Physics, Vol. 32 (2022), Iss. 2 : pp. 299–335

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Frequency Principle: Fourier Analysis Sheds Light on Deep Neural Networks

Journal Article

Frequency Principle: Fourier Analysis Sheds Light on Deep Neural Networks

Communications in Computational Physics, Vol. 28 (2020), Iss. 5 : pp. 1746–1767

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Theory of the Frequency Principle for General Deep Neural Networks

Journal Article

Theory of the Frequency Principle for General Deep Neural Networks

CSIAM Transactions on Applied Mathematics, Vol. 2 (2021), Iss. 3 : pp. 484–507

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Asymptotic-Preserving Neural Networks for Multiscale Kinetic Equations

Journal Article

Asymptotic-Preserving Neural Networks for Multiscale Kinetic Equations

Communications in Computational Physics, Vol. 35 (2024), Iss. 3 : pp. 693–723

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