THE APPLICATION OF MODIFIED PHYSICS-INFORMED NEURAL NETWORKS IN RAYLEIGH-TAYLOR INSTABILITY

被引：0
|
作者：
Qiu, Rundi [1 ,2 ,3 ,4 ]
Wang, Jingzhu [1 ,2 ,3 ,4 ]
Huang, Renfang [1 ,2 ,3 ,4 ]
Du, Tezhuan [1 ,2 ,3 ,4 ]
Wang, Yiwei [1 ,2 ,3 ,4 ]
Huang, Chenguang [1 ,2 ,3 ,4 ]
机构：
[1] Key Laboratory Mechanics in Fluid Solid Coupling Systems, Institute of Mechanics, Chinese Academy of Sciences, Beijing,100190, China
[2] School of Future Technology, University of Chinese Academy of Sciences, Beijing,100049, China
[3] School of Engineering Science, University of Chinese Academy of Sciences, Beijing,100049, China
[4] Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei,230031, China
来源：
Lixue Xuebao/Chinese Journal of Theoretical and Applied Mechanics | 2022年 / 54卷 / 08期
关键词：
Compendex;
D O I：
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学科分类号：
摘要：
Two phase flow
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页码：2224 / 2234
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