Weiwei Zhang

According to our database, Weiwei Zhang authored at least 18 papers between 2016 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

A Data-Driven convergence booster for accelerating and stabilizing pseudo time-stepping.

Xukun Wang, Yilang Liu, Xiang Yang, Weiwei Zhang

J. Comput. Phys., 2026

A rapid aerodynamic simulation framework for subsonic and transonic airfoil flow fields.

Kuijun Zuo, Chenjia Ning, Zhengyin Ye, Xianxu Yuan, Weiwei Zhang

Eng. Appl. Artif. Intell., 2026

Hierarchical Dimensionless Learning: A physics-data hybrid-driven approach for discovering dimensionless parameter combinations.

Mingkun Xia, Haitao Lin, Weiwei Zhang

Eng. Appl. Artif. Intell., 2026

Overcoming the loss conditioning bottleneck in optimization-based PDE solvers: a well-conditioned loss function.

Wenbo Cao, Weiwei Zhang

Commun. Nonlinear Sci. Numer. Simul., 2026

2025

A matrix preconditioning framework for physics-informed neural networks based on adjoint method.

Jiahao Song, Wenbo Cao, Weiwei Zhang

CoRR, August, 2025

FENN: Feature-enhanced neural network for solving partial differential equations involving fluid mechanics.

Jiahao Song, Wenbo Cao, Weiwei Zhang

J. Comput. Phys., 2025

An analysis and solution of ill-conditioning in physics-informed neural networks.

Wenbo Cao, Weiwei Zhang

J. Comput. Phys., 2025

CycleMLP++: An efficient and flexible modeling framework for subsonic airfoils.

Kuijun Zuo, Zhengyin Ye, Linyang Zhu, Xianxu Yuan, Weiwei Zhang

Expert Syst. Appl., 2025

Multisource aerodynamic data reconstruction method using an enhanced multifidelity neural network.

Xu Wang, Huailu Li, Haitao Lin, Hui Tang, Weiwei Zhang

Eng. Appl. Artif. Intell., 2025

2024

Development and deployment of data-driven turbulence model for three-dimensional complex configurations.

Xuxiang Sun, Yilang Liu, Weiwei Zhang, Yongzhong Wang, Jingyuan Zou, Zhengrong Han, Yun Su

Mach. Learn. Sci. Technol., 2024

A generalized framework for integrating machine learning into computational fluid dynamics.

Xuxiang Sun, Wenbo Cao, Xianglin Shan, Yilang Liu, Weiwei Zhang

J. Comput. Sci., 2024

Solving high-dimensional parametric engineering problems for inviscid flow around airfoils based on physics-informed neural networks.

Wenbo Cao, Jiahao Song, Weiwei Zhang

J. Comput. Phys., 2024

VW-PINNs: A volume weighting method for PDE residuals in physics-informed neural networks.

Jiahao Song, Wenbo Cao, Fei Liao, Weiwei Zhang

CoRR, 2024

2023

TSONN: Time-stepping-oriented neural network for solving partial differential equations.

Wenbo Cao, Weiwei Zhang

CoRR, 2023

2022

Mesh-Conv: Convolution operator with mesh resolution independence for flow field modeling.

Jia-Wei Hu, Weiwei Zhang

J. Comput. Phys., 2022

A novel convergence enhancement method based on Online Dimension Reduction Optimization.

Wenbo Cao, Yilang Liu, Xianglin Shan, Chuanqiang Gao, Weiwei Zhang

CoRR, 2022

2021

UCNN: A Convolutional Strategy on Unstructured Mesh.

Mengfei Xu, Shufang Song, Xuxiang Sun, Weiwei Zhang

CoRR, 2021

2016

A high-order finite volume method on unstructured grids using RBF reconstruction.

Yilang Liu, Weiwei Zhang, Yuewen Jiang, Zhengyin Ye

Comput. Math. Appl., 2016