📝 Publications
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Moment-enhanced shallow water equations for non-slip boundary conditions, S. Zhou, J. Huang, and A. J. Christlieb, submitted (2025).
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Convolutional neural network-based reduced-order modeling for parametric nonlocal PDEs, Y. Wang, S. Zhou, and Y. Zhang, Comput. Methods Appl. Mech. Eng., 444 (2025), pp. 118084.
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Fast finite difference methods for variable-order fractional Laplacian, S. Zhou, and Y. Zhang, to be submitted (2024).
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Data-driven approach for the solutions of time-dependent PDEs using convolutional neural network, S. Zhou, Y. Li, and Y. Zhang, to be submitted (2024).
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Parametric model reduction with convolutional neural networks, Y. Wang, S. Zhou, and Y. Zhang, Int. J. Numer. Anal. Mod., 21 (2024), pp. 716-738.
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Analytical and computational aspects of the high-order fractional Laplacian, J.P. Borthagaray, Y. Wu, S. Zhou, and Y. Zhang, preprint (2023).
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Fourier pseudospectral methods for the spatial variable-order fractional wave equations, Y. Zhang, X. Zhao, S. Zhou, under revision, (2023).
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A novel spectral method for space-fractional PDEs with the fractional Laplacians, S. Zhou and Y. Zhang, Comput. Math. Appl., 168 (2024), pp.133–147.
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Weak Galerkin Finite Element Method with Second-order accuracy in time for parabolic problems, S. Zhou, F. Gao, B. Li, and Z. Sun, Appl. Math. Lett., 90(2019), pp.118-123.