Rapid Prediction of Multi-physics Coupling in Heat Pipe ReactorBased on Neural Network
In the present study, a data-driven neural network methodology was proposed for the rapid prediction of multi-physics interactions in heat pipe reactors, and grounded in a comprehensive framework of multi-physics coupling. By leveraging neural networks, certain numerical computation modules within t...
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| Main Author: | |
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| Format: | Article |
| Language: | English |
| Published: |
Editorial Board of Atomic Energy Science and Technology
2024-06-01
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| Series: | Yuanzineng kexue jishu |
| Subjects: | |
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