Solving partial differential equation for atmospheric dispersion of radioactive material using physics-informed neural network
The governing equations of atmospheric dispersion most often taking the form of a second-order partial differential equation (PDE). Currently, typical computational codes for predicting atmospheric dispersion use the Gaussian plume model that is an analytic solution. A Gaussian model is simple and e...
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| Autores principales: | , |
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| Formato: | Artigo |
| Lenguaje: | Inglês |
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Elsevier
2023-06-01
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| Colección: | Nuclear Engineering and Technology |
| Materias: | |
| Acceso en línea: | http://www.sciencedirect.com/science/article/pii/S1738573323001195 |
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