Weizong Wang

According to our database, Weizong Wang authored at least 8 papers between 2023 and 2026.

Collaborative distances:

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

2026

Incremental prognostic value of myocardial strain in patients with coronary slow flow.

Binyu Zhou, Peixuan Shi, Wenhui Song, Weizong Wang, Haiyan Wang

BMC Medical Imaging, December, 2026

2025

ChatCFD: an End-to-End CFD Agent with Domain-specific Structured Thinking.

E. Fan, Weizong Wang, Tianhan Zhang

CoRR, June, 2025

Efficient prediction of aerodynamic forces in rarefied flow using convolutional neural network based multi-process method.

Haifeng Huang, Guobiao Cai, Chuanfeng Wei, Baiyi Zhang, Xiang Cui, Yongjia Zhao, Huiyan Weng, Weizong Wang, Lihui Liu, Bijiao He

Mach. Learn. Sci. Technol., 2025

Solving multiscale dynamical systems by deep learning.

Junjie Yao, Yuxiao Yi, Liangkai Hang, Weinan E, Weizong Wang, Yaoyu Zhang, Tianhan Zhang, Zhi-Qin John Xu

Comput. Phys. Commun., 2025

Numerical Error Analysis of the Poisson Equation Under RHS Inaccuracies in Particle-in-Cell Simulations.

Kai Zhang, Tao Xiao, Weizong Wang, Bijiao He

Comput., 2025

2024

Applying Machine Learning Techniques: Uncertainty Quantification in Nonlinear Dynamics Characters Predictions via Gated Recurrent Unit-Based Reduced-Order Models.

Xun Peng, Hao Zhu, Dajun Xu, Wenzhi Hao, Weizong Wang, Guobiao Cai

Int. J. Pattern Recognit. Artif. Intell., September, 2024

2023

Physics-informed neural networks for solving forward and inverse Vlasov-Poisson equation via fully kinetic simulation.

Baiyi Zhang, Guobiao Cai, Huiyan Weng, Weizong Wang, Lihui Liu, Bijiao He

Mach. Learn. Sci. Technol., December, 2023

Measurement and Prediction of Micronewton Class Thrust of Electric Propulsion Based on the Torsional Pendulum and Machine Learning Technique.

Haibo Wang, Weizong Wang, Jiaqi Yan, Chencong Fu, Wei Liu

IEEE Trans. Instrum. Meas., 2023