Visualization of plasma shape in the LHD-type helical fusion reactor, FFHR, by a deep learning technique-Reference-Cited by-同舟云学术

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Visualization of plasma shape in the LHD-type helical fusion reactor, FFHR, by a deep learning technique

Published:2021-08-18 Issue:6 Volume:24 Page:1141-1154
ISSN:1343-8875
Container-title:Journal of Visualization
language:en
Short-container-title:J Vis

Author:

Hu Kunqi,Koyamada Koji,Ohtani Hiroaki^ORCID,Goto Takuya,Miyazawa Junichi

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Condensed Matter Physics

Link

https://link.springer.com/content/pdf/10.1007/s12650-021-00768-w.pdf

Reference21 articles.

1. Project webpage (2010) https://github.com/yasuhiro-suzuki/MGTRC

2. Points annotation tool webpage (2019) https://github.com/Zhongjianghan/

3. Plotly webpage (2020) https://plotly.com/python/

4. Ambrosino G, Albanese R (2005) Magnetic control of plasma current, position, and shape in tokamaks: a survey or modeling and control approaches. IEEE Control Syst. Mag. 25(5):76–92

5. Goto T, Sagara A (2015) System design of the heliotron-type reactor FFHR. In: 2015 IEEE 26th symposium on fusion engineering (SOFE). IEEE, pp 1–6

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