Data-driven prediction of unsteady flow over a circular cylinder using deep learning
Unsteady flow fields over a circular cylinder are used for training and then prediction using four different deep learning networks: generative adversarial networks with and without consideration of conservation laws; and convolutional neural networks with and without consideration of conservation l...
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| Published in: | Journal of fluid mechanics Vol. 879; pp. 217 - 254 |
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| Main Authors: | , |
| Format: | Journal Article |
| Language: | English |
| Published: |
Cambridge
Cambridge University Press
25.11.2019
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| Subjects: | |
| ISSN: | 0022-1120, 1469-7645 |
| Online Access: | Get full text |
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