Surrogate modeling for flow simulations using design variable-coded deep learning networks
Abstract In recent years, machine learning techniques have emerged as pivotal tools across scientific and engineering disciplines. One notable application is in computational fluid dynamics (CFD), where there is a growing demand for cost-effective alternatives to traditional, resource-intensive simu...
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| Main Author: | |
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| Format: | Article |
| Language: | English |
| Published: |
SpringerOpen
2025-05-01
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| Series: | Journal of Engineering and Applied Science |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s44147-025-00634-8 |
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