Solving Steady-state Mono-energy Neutron Diffusion Solution Set with Parameterized Physics-informed Neural Network
Physics-Informed Neural Network (PINN) is a deep learning method that incorporates physical knowledge. It has recently been applied to solve core neutron problems in computational nuclear engineering. However, the non-reusability of PINNs when solving different problems greatly hampers its value and...
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| Format: | Artigo |
| Sprache: | Inglês |
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Editorial Board of Atomic Energy Science and Technology
2024-06-01
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| Schriftenreihe: | Yuanzineng kexue jishu |
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