A Neural Network-Based Poisson Solver for Fluid Simulation-Reference-Cited by-同舟云学术

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A Neural Network-Based Poisson Solver for Fluid Simulation

Published:2024-09-10 Issue:5 Volume:56 Page:
ISSN:1573-773X
Container-title:Neural Processing Letters
language:en
Short-container-title:Neural Process Lett

Author:

Jiang Zichao,Wang Zhuolin,Yao Qinghe,Yang Gengchao,Zhang Yi,Jiang Junyang

Funder

National key R&D program for international collaboration

Natural Science Foundation of China

Guangdong Science and Technology Fund

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s11063-024-11620-1.pdf

Reference37 articles.

1. Issa RI, Gosman AD, Watkins AP (1986) The computation of compressible and incompressible recirculating flows by a non-iterative implicit scheme. J Comput Phys 62(1):66–82

2. Xiao X, Zhou Y, Wang H, Yang X (2020) A novel CNN-based poisson solver for fluid simulation. IEEE Trans Visual Comput Graphics 26(3):1454–1465

3. Costa P (2018) A FFT-based finite-difference solver for massively-parallel direct numerical simulations of turbulent flows. Comput Math Appl 76(8):1853–1862

4. Alshemali B, Kalita J (2020) Improving the reliability of deep neural networks in NLP: a review. Knowl-Based Syst 191:105210. https://doi.org/10.1016/j.knosys.2019.105210

5. Zhang XY, Zou JH, He KM, Sun J (2016) Accelerating very deep convolutional networks for classification and detection. IEEE Trans Pattern Anal Mach Intell 38(10):1943–1955

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