Accurate prediction of the particle image velocimetry flow field and rotor thrust using deep learning

DOI10.1017/jfm.2022.135zbMath1504.76061OpenAlexW4221061971MaRDI QIDQ3390379

Hyungson Ki, Seung-Cheol Lee, Myeonggyun Son, Jooha Kim, Sehyeok Oh

Publication date: 24 March 2022

Published in: Journal of Fluid Mechanics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1017/jfm.2022.135

zbMATH Keywords

fast Fourier transformmachine learninggenerative adversarial networkartificial intelligence architecturecross-correlation algorithmspectral-norm residual conditional translator

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Experimental work for problems pertaining to fluid mechanics (76-05) Basic methods in fluid mechanics (76M99) Visualization algorithms applied to problems in fluid mechanics (76M27)

Uses Software

• Spearmint
• Adam
• CycleGAN
• pix2pix
• BiT
• Wasserstein GAN

Cites Work

• Unnamed Item

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