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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Main Author: | He, Yutian |
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Other Authors: | Nicolas Privault |
Format: | Final Year Project |
Language: | English |
Published: |
Nanyang Technological University
2024
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Subjects: | |
Online Access: | https://hdl.handle.net/10356/175608 |
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Institution: | Nanyang Technological University |
Language: | English |
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