Weiwei Zhang

18 papers Journal 18
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Data-Driven convergence booster for accelerating and stabilizing pseudo time-stepping.
J. Comput. Phys.
Xukun Wang, Yilang Liu, Xiang Yang, Weiwei Zhang
2026 J jnl
A rapid aerodynamic simulation framework for subsonic and transonic airfoil flow fields.
Eng. Appl. Artif. Intell.
Kuijun Zuo, Chenjia Ning, Zhengyin Ye, Xianxu Yuan, Weiwei Zhang
2026 J jnl
Hierarchical Dimensionless Learning: A physics-data hybrid-driven approach for discovering dimensionless parameter combinations.
Eng. Appl. Artif. Intell.
Mingkun Xia, Haitao Lin, Weiwei Zhang
2026 J jnl
Overcoming the loss conditioning bottleneck in optimization-based PDE solvers: a well-conditioned loss function.
Commun. Nonlinear Sci. Numer. Simul.
Wenbo Cao, Weiwei Zhang
2025 J jnl
A matrix preconditioning framework for physics-informed neural networks based on adjoint method.
CoRR
Jiahao Song, Wenbo Cao, Weiwei Zhang
2025 J jnl
An analysis and solution of ill-conditioning in physics-informed neural networks.
J. Comput. Phys.
Wenbo Cao, Weiwei Zhang
2025 J jnl
CycleMLP++: An efficient and flexible modeling framework for subsonic airfoils.
Expert Syst. Appl.
Kuijun Zuo, Zhengyin Ye, Linyang Zhu, Xianxu Yuan, Weiwei Zhang
2025 J jnl
FENN: Feature-enhanced neural network for solving partial differential equations involving fluid mechanics.
J. Comput. Phys.
Jiahao Song, Wenbo Cao, Weiwei Zhang
2025 J jnl
Multisource aerodynamic data reconstruction method using an enhanced multifidelity neural network.
Eng. Appl. Artif. Intell.
Xu Wang, Huailu Li, Haitao Lin, Hui Tang, Weiwei Zhang
2024 J jnl
A generalized framework for integrating machine learning into computational fluid dynamics.
J. Comput. Sci.
Xuxiang Sun, Wenbo Cao, Xianglin Shan, Yilang Liu, Weiwei Zhang
2024 J jnl
Development and deployment of data-driven turbulence model for three-dimensional complex configurations.
Mach. Learn. Sci. Technol.
Xuxiang Sun, Yilang Liu, Weiwei Zhang, Yongzhong Wang, Jingyuan Zou, Zhengrong Han, Yun Su
2024 J jnl
Solving high-dimensional parametric engineering problems for inviscid flow around airfoils based on physics-informed neural networks.
J. Comput. Phys.
Wenbo Cao, Jiahao Song, Weiwei Zhang
2024 J jnl
VW-PINNs: A volume weighting method for PDE residuals in physics-informed neural networks.
CoRR
Jiahao Song, Wenbo Cao, Fei Liao, Weiwei Zhang
2023 J jnl
TSONN: Time-stepping-oriented neural network for solving partial differential equations.
CoRR
Wenbo Cao, Weiwei Zhang
2022 J jnl
A novel convergence enhancement method based on Online Dimension Reduction Optimization.
CoRR
Wenbo Cao, Yilang Liu, Xianglin Shan, Chuanqiang Gao, Weiwei Zhang
2022 J jnl
Mesh-Conv: Convolution operator with mesh resolution independence for flow field modeling.
J. Comput. Phys.
Jia-Wei Hu, Weiwei Zhang
2021 J jnl
UCNN: A Convolutional Strategy on Unstructured Mesh.
CoRR
Mengfei Xu, Shufang Song, Xuxiang Sun, Weiwei Zhang
2016 J jnl
A high-order finite volume method on unstructured grids using RBF reconstruction.
Comput. Math. Appl.
Yilang Liu, Weiwei Zhang, Yuewen Jiang, Zhengyin Ye