Zhiping Mao
Xiamen University
H-index: 19
Asia-China
Top articles of Zhiping Mao
Efficient and stable SAV-based methods for gradient flows arising from deep learning
Journal of Computational Physics
2024/5/15
Zhiping Mao
H-Index: 13
Jie Shen
H-Index: 8
Inferring biophysical properties of membranes during endocytosis using machine learning
Soft Matter
2024
Operator Learning Enhanced Physics-informed Neural Networks for Solving Partial Differential Equations Characterized by Sharp Solutions
arXiv preprint arXiv:2310.19590
2023/10/30
DeepStSNet: Reconstructing the quantum state-resolved thermochemical nonequilibrium flowfield using deep neural operator learning with scarce data
Journal of Computational Physics
2023/10/15
Physics-informed neural networks with residual/gradient-based adaptive sampling methods for solving partial differential equations with sharp solutions
Applied Mathematics and Mechanics
2023/7
Zhiping Mao
H-Index: 13
Xuhui Meng
H-Index: 9
Analysis and Hermite spectral approximation of diffusive-viscous wave equations in unbounded domains arising in geophysics
Journal of Scientific Computing
2023/5
Dan Ling
H-Index: 3
Zhiping Mao
H-Index: 13
Inferring membrane properties during clathrin-mediated endocytosis using machine learning
bioRxiv
2023/1/13
High Order Conservative Finite Difference/Fourier Spectral Methods for Inviscid Surface Quasi-Geostrophic Flows
Communications in Computational Physics
2022/11/1
Efficient and Accurate Numerical Methods Using the Accelerated Spectral Deferred Correction for Solving Fractional Differential Equations
Numer. Math., Theory Methods Appl.
2022/11/1
Zhiping Mao
H-Index: 13
Physics-informed neural networks for inverse problems in supersonic flows
Optics Express
2020/4/13
A spectral method for stochastic fractional PDEs using dynamically-orthogonal/bi-orthogonal decomposition
Journal of Computational Physics
2022/7/15
Learning functional priors and posteriors from data and physics
Journal of Computational Physics
2022/5/15
A comprehensive and fair comparison of two neural operators (with practical extensions) based on fair data
Computer Methods in Applied Mechanics and Engineering
2022/4/1
Lu Lu
H-Index: 9
Xuhui Meng
H-Index: 9
Zhiping Mao
H-Index: 13
Somdatta Goswami
H-Index: 7
Zhongqiang Zhang
H-Index: 15
DeepM&Mnet for hypersonics: Predicting the coupled flow and finite-rate chemistry behind a normal shock using neural-network approximation of operators
Journal of Computational Physics
2021/12/15
Zhiping Mao
H-Index: 13
Lu Lu
H-Index: 9
Physics-informed neural networks (PINNs) for fluid mechanics: A review
2021/12
DeepXDE: A deep learning library for solving differential equations
SIAM Review
2021
A fast solver for spectral elements applied to fractional differential equations using hierarchical matrix approximation
Computer Methods in Applied Mechanics and Engineering
2020/7/1
Fractional phase-field crystal modelling: analysis, approximation and pattern formation
IMA Journal of Applied Mathematics
2020/4/26
Mark Ainsworth
H-Index: 27
Zhiping Mao
H-Index: 13
Physics-informed neural networks for high-speed flows
Computer Methods in Applied Mechanics and Engineering
2020/3/1
Zhiping Mao
H-Index: 13
Co-Authors
