研究论文
Reconstruction of hydrofoil cavitation flow based on the chain-style physics-informed neural network
Hanqing Ouyang, Zhicheng Zhu, Kuangqi Chen, Beichen Tian, Biao Huang, Hao Jia
Beijing Institute of Technology
来源Engineering Applications of Artificial Intelligence
年份2022
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30
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学术脉络
学科主题
物理Model Reduction and Neural Networks
Nuclear Engineering Thermal-Hydraulics · Hydraulic and Pneumatic Systems
参考文献 74
Method for prediction of pump cavitation performance for various liquids, liquid temperatures, and rotative speeds
被引 70R. D. Moore, Robert S. Ruggeri · NASA Technical Reports Server (NASA) · 1969
Automatic differentiation in machine learning: a survey
被引 849Baydin, Atilim Gunes, Pearlmutter, Barak A., Alexey Radul · arXiv (Cornell University) · 2015
Two-phase modeling of cavitated flows
被引 84Yongliang Chen, Stephen D. Heister · Computers & Fluids · 1995
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施引文献 30
A classification and review of cavitation models with an emphasis on physical aspects of cavitation
被引 70Tobias Simonsen Folden, Fynn Jerome Aschmoneit · Physics of Fluids · 2023
Flow field reconstruction and prediction of the two-dimensional cylinder flow using data-driven physics-informed neural network combined with long short-term memory
被引 31Yehao Dou, Xun Han, Pengzhi Lin · Engineering Applications of Artificial Intelligence · 2025
Physics-Informed Neural Networks with skip connections for modeling and control of gas-lifted oil wells
被引 23Jonas Ekeland Kittelsen, Eric Aislan Antonelo, Eduardo Camponogara · Applied Soft Computing · 2024
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