Inpainting Computational Fluid Dynamics with Physics-Informed Variational Autoencoder

被引：0
|
作者：
Wang, Jiamin [1 ]
Yan, Zhexi [1 ]
Wang, Xiaokun [1 ,2 ,3 ]
Zhang, Yalan [1 ,2 ]
Guo, Yu [4 ]
机构：
[1] School of Intelligence Science and Technology, University of Science and Technology Beijing, Beijing,100083, China
[2] Shunde Graduate School, University of Science and Technology Beijing, Foshan,528300, China
[3] Beijing Advanced Innovation Center for Materials Genome Engineering, University of Science and Technology Beijing, Beijing,100083, China
[4] School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing,100083, China
来源：
Beijing Youdian Daxue Xuebao/Journal of Beijing University of Posts and Telecommunications | 2024年 / 47卷 / 04期
关键词：
Compendex;
D O I：
10.13190/j.jbupt.2023-305
中图分类号：
学科分类号：
摘要：
Computational fluid dynamics - Flow fields - Variational techniques
引用
收藏
页码：29 / 35
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