Zhiping Mao
Eastern Institute of Technology(NZ)John Brown University(US)Xiamen University(CN)
Publications by Year
Research Areas
Fractional Differential Equations Solutions, Differential Equations and Numerical Methods, Model Reduction and Neural Networks, Numerical methods in engineering, Fluid Dynamics and Turbulent Flows
Most-Cited Works
- → Physics-informed neural networks (PINNs) for fluid mechanics: a review(2021)1,631 cited
- → Physics-informed neural networks for high-speed flows(2019)1,145 cited
- → What is the fractional Laplacian? A comparative review with new results(2019)423 cited
- → Physics-informed neural networks for inverse problems in supersonic flows(2022)295 cited
- → DeepXDE: A Deep Learning Library for Solving Differential Equations(2021)221 cited
- → Analysis and Approximation of a Fractional Cahn--Hilliard Equation(2017)160 cited
- → DeepM&Mnet for hypersonics: Predicting the coupled flow and finite-rate chemistry behind a normal shock using neural-network approximation of operators