Summary of Recent Advances on Machine Learning For Computational Fluid Dynamics: a Survey, by Haixin Wang et al.
Recent Advances on Machine Learning for Computational Fluid Dynamics: A Survey
by Haixin Wang, Yadi Cao, Zijie Huang, Yuxuan Liu, Peiyan Hu, Xiao Luo, Zezheng Song, Wanjia Zhao, Jilin Liu, Jinan Sun, Shikun Zhang, Long Wei, Yue Wang, Tailin Wu, Zhi-Ming Ma, Yizhou Sun
First submitted to arxiv on: 22 Aug 2024
Categories
- Main: Machine Learning (cs.LG)
- Secondary: None
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary This paper reviews recent advancements in enhancing Computational Fluid Dynamics (CFD) tasks through Machine Learning (ML) techniques. The authors introduce traditional CFD methods and benchmark datasets, then explore the various roles ML plays in improving CFD. A novel classification is introduced for forward modeling, including Data-driven Surrogates, Physics-Informed Surrogates, and ML-assisted Numerical Solutions. The paper also reviews latest ML methods in inverse design and control, highlighting real-world applications in aerodynamics, combustion, atmosphere & ocean science, biology fluid, plasma, symbolic regression, and reduced order modeling. Key challenges are identified and future research directions are advocated for, including multi-scale representation, physical knowledge encoding, scientific foundation model, and automatic scientific discovery. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper looks at how Machine Learning (ML) can help make Computational Fluid Dynamics (CFD) better. CFD is used to study how fluids move and behave. The authors of the paper look at what ML can do to make CFD more accurate, faster, and able to handle more complex problems. They also talk about some real-world applications of ML in CFD, like studying airplanes, fires, and oceans. The main idea is that ML can really help make CFD better by making simulations more accurate and fast. |
Keywords
» Artificial intelligence » Classification » Machine learning » Regression
