Zhiping Mao

Получаване на мой собствен потребителски профил

Позовавания

	Всички	От 2020
Позовавания	7008	6710
h-индекс	20	20
i10-индекс	25	23

2600

1300

650

1950

20172018201920202021202220232024202532 72 175 275 604 967 1735 2551 564

Публичен достъп

Преглед на всички

27 статии

3 статии

налични

неналични

Въз основа на изисквания при финансирането

Съавтори

George Em KarniadakisThe Charles Pitts Robinson and John Palmer Barstow Professor of Applied Mathematics and EngineeringПотвърден имейл адрес: brown.edu
Mark AinsworthProfessor, Division of Applied Mathematics, Brown UniversityПотвърден имейл адрес: brown.edu
Lu LuAssistant Professor of Statistics and Data Science, Yale UniversityПотвърден имейл адрес: yale.edu
Zhicheng WangDalian University of TechnologyПотвърден имейл адрес: dlut.edu.cn
Jie ShenChair Professor, Eastern Institute of Technology, Ningbo, 315200, ChinaПотвърден имейл адрес: eitech.edu.cn
Christian GlusaSandia National LaboratoriesПотвърден имейл адрес: sandia.gov
Mamikon GulianBooz Allen HamiltonПотвърден имейл адрес: bah.com
Ameya D. JagtapAssistant Professor, WPI | Brown University | TIFR-CAM | IIScПотвърден имейл адрес: wpi.edu
Mark MeerschaertMichigan State UniversityПотвърден имейл адрес: stt.msu.edu
Tamer ZakiProfessor of Mechanical Engineering, Johns Hopkins UniversityПотвърден имейл адрес: jhu.edu
Sheng ChenResearch Center for Mathematics, Advanced Institute of Natural Science, Beijing Normal UniversityПотвърден имейл адрес: bnu.edu.cn
Fanhai ZengShandong UniversityПотвърден имейл адрес: sdu.edu.cn
Zhen LiClemson UniversityПотвърден имейл адрес: clemson.edu
Lizhen ChenBeijing Computational Science Rearch CenterПотвърден имейл адрес: csrc.ac.cn
Hong WangUniversity of South CarolinaПотвърден имейл адрес: math.sc.edu
Ehsan KharazmiDivision of Applied Math, Brown UniversityПотвърден имейл адрес: brown.edu
W CaiSouthern Methodist University

Следене

Zhiping Mao

School of Mathematical Sciences Eastern Institute of Technology Ningbo

Потвърден имейл адрес: eitech.edu.cn

Computional Mathematics Numerical analysis Scientific computation Machine Learning


Заглавие Сортиране по цитати Сортиране по година Сортиране по заглавие	Позовавания Позовавания	Година
DeepXDE: A deep learning library for solving differential equations L Lu, X Meng, Z Mao, GE Karniadakis SIAM review 63 (1), 208-228, 2021	2075	2021
Physics-informed neural networks (PINNs) for fluid mechanics: A review S Cai, Z Mao, Z Wang, M Yin, GE Karniadakis Acta Mechanica Sinica 37 (12), 1727-1738, 2021	1379	2021
Physics-informed neural networks for high-speed flows Z Mao, AD Jagtap, GE Karniadakis Computer Methods in Applied Mechanics and Engineering 360, 112789, 2020	1110	2020
What is the fractional Laplacian? A Lischke, G Pang, M Gulian, F Song, C Glusa, X Zheng, Z Mao, W Cai, ... arXiv preprint arXiv:1801.09767, 2018	508*	2018
A comprehensive and fair comparison of two neural operators (with practical extensions) based on fair data L Lu, X Meng, S Cai, Z Mao, S Goswami, Z Zhang, GE Karniadakis Computer Methods in Applied Mechanics and Engineering 393, 114778, 2022	465	2022
Physics-informed neural networks for inverse problems in supersonic flows AD Jagtap, Z Mao, N Adams, GE Karniadakis Journal of Computational Physics 466, 111402, 2022	255	2022
Analysis and approximation of a fractional Cahn--Hilliard equation M Ainsworth, Z Mao SIAM Journal on Numerical Analysis 55 (4), 1689-1718, 2017	179	2017
DeepM&Mnet for hypersonics: Predicting the coupled flow and finite-rate chemistry behind a normal shock using neural-network approximation of operators Z Mao, L Lu, O Marxen, TA Zaki, GE Karniadakis Journal of computational physics 447, 110698, 2021	166	2021
Efficient spectral–Galerkin methods for fractional partial differential equations with variable coefficients Z Mao, J Shen Journal of Computational Physics 307, 243-261, 2016	105	2016
Efficient and accurate spectral method using generalized Jacobi functions for solving Riesz fractional differential equations Z Mao, S Chen, J Shen Applied Numerical Mathematics 106, 165-181, 2016	104	2016
A spectral method (of exponential convergence) for singular solutions of the diffusion equation with general two-sided fractional derivative Z Mao, GE Karniadakis SIAM Journal on Numerical Analysis 56 (1), 24-49, 2018	97	2018
A generalized spectral collocation method with tunable accuracy for fractional differential equations with end-point singularities F Zeng, Z Mao, GE Karniadakis SIAM Journal on Scientific Computing 39 (1), A360-A383, 2017	76	2017
Hermite spectral methods for fractional PDEs in unbounded domains Z Mao, J Shen SIAM Journal on Scientific Computing 39 (5), A1928-A1950, 2017	74	2017
Well-posedness of the Cahn–Hilliard equation with fractional free energy and its Fourier Galerkin approximation M Ainsworth, Z Mao Chaos, Solitons & Fractals 102, 264-273, 2017	59	2017
Learning functional priors and posteriors from data and physics X Meng, L Yang, Z Mao, J del Águila Ferrandis, GE Karniadakis Journal of Computational Physics 457, 111073, 2022	58	2022
Physics-informed neural networks with residual/gradient-based adaptive sampling methods for solving partial differential equations with sharp solutions Z Mao, X Meng Applied Mathematics and Mechanics 44 (7), 1069-1084, 2023	53	2023
Spectral element method with geometric mesh for two-sided fractional differential equations Z Mao, J Shen Advances in Computational Mathematics 44, 745-771, 2018	44	2018
Multi-domain spectral collocation method for variable-order nonlinear fractional differential equations T Zhao, Z Mao, GE Karniadakis Computer Methods in Applied Mechanics and Engineering 348, 377-395, 2019	32	2019
Fractional Burgers equation with nonlinear non-locality: Spectral vanishing viscosity and local discontinuous Galerkin methods Z Mao, GE Karniadakis Journal of Computational Physics 336, 143-163, 2017	30	2017
Nonlocal flocking dynamics: learning the fractional order of PDEs from particle simulations Z Mao, Z Li, GE Karniadakis Communications on Applied Mathematics and Computation 1, 597-619, 2019	28	2019

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