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physics.flu-dyn2024★ 1 cited
An unstructured adaptive mesh refinement for steady flows based on physics-informed neural networks
Yongzheng Zhu, Shiji Zhao, Yuanye Zhou +2
Mesh generation is essential for accurate and efficient computational fluid dynamics simulations. To resolve critical features in the flow, adaptive mesh refinement (AMR) is routin…
physics.flu-dyn2023★ 1 cited
Self-supervised learning based on Transformer for flow reconstruction and prediction
Bonan Xu, Yuanye Zhou, Xin Bian
Machine learning has great potential for efficient reconstruction and prediction of flow fields. However, existing datasets may have highly diversified labels for different flow sc…