( en | de | ru )

 

Disambiguation of "Mao, Zhiping"

Author of the publication

copydeleteadd this publication to your clipboard
A spectral method for stochastic fractional PDEs using dynamically-orthogonal/bi-orthogonal decomposition.

, , , , and . J. Comput. Phys., (2022)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Zhiping Chen

Zhiping Dong

Zhiping Nie

Zhiping Zeng

Zhiping Mu

 

Other publications of authors with the same name

Analysis and Approximation of a Fractional Cahn-Hilliard Equation., and . SIAM J. Numerical Analysis, 55 (4): 1689-1718 (2017)DeepStSNet: Reconstructing the quantum state-resolved thermochemical nonequilibrium flowfield using deep neural operator learning with scarce data., , , , and . J. Comput. Phys., (October 2023)DeepXDE: A Deep Learning Library for Solving Differential Equations., , , and . SIAM Rev., 63 (1): 208-228 (2021)A Spectral Penalty Method for Two-Sided Fractional Differential Equations with General Boundary Conditions., , , and . SIAM J. Sci. Comput., 41 (3): A1840-A1866 (2019)Fractional Burgers equation with nonlinear non-locality: Spectral vanishing viscosity and local discontinuous Galerkin methods., and . J. Comput. Phys., (2017)Efficient spectral-Galerkin methods for fractional partial differential equations with variable coefficients., and . J. Comput. Phys., (2016)A Spectral Method (of Exponential Convergence) for Singular Solutions of the Diffusion Equation with General Two-Sided Fractional Derivative., and . SIAM J. Numer. Anal., 56 (1): 24-49 (2018)Operator Learning Enhanced Physics-informed Neural Networks for Solving Partial Differential Equations Characterized by Sharp Solutions., , , and . CoRR, (2023)DeepXDE: A Deep Learning Library for Solving Differential Equations., , , and . AAAI Spring Symposium: MLPS, volume 2587 of CEUR Workshop Proceedings, CEUR-WS.org, (2020)DeepM&Mnet for hypersonics: Predicting the coupled flow and finite-rate chemistry behind a normal shock using neural-network approximation of operators., , , , and . J. Comput. Phys., (2021)