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.

Saved in:
Bibliographic Details
Main Author: He, Yutian
Other Authors: Nicolas Privault
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2024
Subjects:
Online Access:https://hdl.handle.net/10356/175608
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Nanyang Technological University
Language: English
Be the first to leave a comment!
You must be logged in first