Application of two-branch deep neural network to predict bubble migration near elastic boundaries-Reference-Cited by-同舟云学术

Application of two-branch deep neural network to predict bubble migration near elastic boundaries

Published:2019-10-01 Issue:10 Volume:31 Page:102003
ISSN:1070-6631
Container-title:Physics of Fluids
language:en
Short-container-title:Physics of Fluids

Author:

Ma Xiaojian¹^ORCID,Wang Chen²,Huang Biao¹,Wang Guoyu¹

Affiliation:

1. School of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, China

2. School of Computer Science and Engineering and Beijing Advanced Innovation Center for Big Data and Brain Computing, Beihang University, Beijing 100191, China

Funder

National Natural Science Foundation of China

Publisher

AIP Publishing

Subject

Condensed Matter Physics,Fluid Flow and Transfer Processes,Mechanics of Materials,Computational Mechanics,Mechanical Engineering

Link

http://aip.scitation.org/doi/pdf/10.1063/1.5111620

Reference40 articles.

1. Numerical simulation of single bubble dynamics under acoustic travelling waves

2. Shock Wave Interaction with Laser-Generated Single Bubbles

3. On study of non-spherical bubble collapse near a rigid boundary

4. Numerical prediction of cavitation erosion on a ship propeller in model- and full-scale

5. Cavitation Instabilities and Rotordynamic Effects in Turbopumps and Hydroturbines

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