Deep learning for numerical solutions of Hesegawa-Wakatani system.
In this paper， we use high-order splitting method to discretize the scheme of 2D-Hesegawa-Wakatani system ，generate numerical solutions of this system by BOUT++ and use DNN neural network to train a model from row-zonally average electrical density and vorticity to its local flux.
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| Format: | Final Year Project (FYP) |
| Language: | English |
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Nanyang Technological University
2024
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| Online Access: | https://hdl.handle.net/10356/175608 |
| _version_ | 1811687026182848512 |
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| author | He, Yutian |
| author2 | Nicolas Privault |
| author_facet | Nicolas Privault He, Yutian |
| author_sort | He, Yutian |
| collection | NTU |
| description | In this paper， we use high-order splitting method to discretize the scheme of 2D-Hesegawa-Wakatani system ，generate numerical solutions of this system by BOUT++ and use DNN neural network to train a model from row-zonally average electrical density and vorticity to its local flux. |
| first_indexed | 2024-10-01T05:09:46Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/175608 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T05:09:46Z |
| publishDate | 2024 |
| publisher | Nanyang Technological University |
| record_format | dspace |
| spelling | ntu-10356/1756082024-05-06T15:37:04Z Deep learning for numerical solutions of Hesegawa-Wakatani system. He, Yutian Nicolas Privault School of Physical and Mathematical Sciences NPRIVAULT@ntu.edu.sg Mathematical Sciences In this paper， we use high-order splitting method to discretize the scheme of 2D-Hesegawa-Wakatani system ，generate numerical solutions of this system by BOUT++ and use DNN neural network to train a model from row-zonally average electrical density and vorticity to its local flux. Bachelor's degree 2024-04-30T08:47:42Z 2024-04-30T08:47:42Z 2024 Final Year Project (FYP) He, Y. (2024). Deep learning for numerical solutions of Hesegawa-Wakatani system.. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/175608 https://hdl.handle.net/10356/175608 en MATH/23/017 application/pdf Nanyang Technological University |
| spellingShingle | Mathematical Sciences He, Yutian Deep learning for numerical solutions of Hesegawa-Wakatani system. |
| title | Deep learning for numerical solutions of Hesegawa-Wakatani system. |
| title_full | Deep learning for numerical solutions of Hesegawa-Wakatani system. |
| title_fullStr | Deep learning for numerical solutions of Hesegawa-Wakatani system. |
| title_full_unstemmed | Deep learning for numerical solutions of Hesegawa-Wakatani system. |
| title_short | Deep learning for numerical solutions of Hesegawa-Wakatani system. |
| title_sort | deep learning for numerical solutions of hesegawa wakatani system |
| topic | Mathematical Sciences |
| url | https://hdl.handle.net/10356/175608 |
| work_keys_str_mv | AT heyutian deeplearningfornumericalsolutionsofhesegawawakatanisystem |