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A deep-learning approach for reconstructing 3D turbulent flows from 2D observation data.
- Published in:
- Scientific Reports, 2023, v. 13, n. 1, p. 1, doi. 10.1038/s41598-023-29525-9
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- Article
Physics-constrained deep reinforcement learning for flow field denoising.
- Published in:
- Journal of Fluid Mechanics, 2023, v. 973, p. A12-1, doi. 10.1017/jfm.2023.775
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- Article
A transformer-based synthetic-inflow generator for spatially developing turbulent boundary layers.
- Published in:
- Journal of Fluid Mechanics, 2023, v. 957, p. 1, doi. 10.1017/jfm.2022.1088
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- Article
Physics-guided deep learning for generating turbulent inflow conditions.
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- Journal of Fluid Mechanics, 2022, v. 936, p. A21-1, doi. 10.1017/jfm.2022.61
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- Article