Physics-informed neural networks for inverse problems in supersonic flows
Accurate solutions to inverse supersonic compressible flow problems are often required for designing specialized aerospace vehicles. In particular, we consider the problem where we have data available for density gradients from Schlieren photography as well as data at the inflow and part of the wall...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Academic Press Inc.
2022
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| Subjects: | |
| Online Access: | View Fulltext in Publisher |