Physics-Informed Super-Resolution of Turbulent Channel Flows via Three-Dimensional Generative Adversarial Networks
For a few decades, machine learning has been extensively utilized for turbulence research. The goal of this work is to investigate the reconstruction of turbulence from minimal or lower-resolution datasets as inputs using reduced-order models. This work seeks to effectively reconstruct high-resoluti...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-06-01
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| Series: | Fluids |
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| Online Access: | https://www.mdpi.com/2311-5521/8/7/195 |