Advanced search
Publication Cover
Fusion Science and Technology Volume 44, 2003 - Issue 4
Submit an article Journal homepage
10
Views
2
CrossRef citations to date
0
Altmetric
Technical Paper

Resistive Wall Mode Feedback Stabilization in Burning Plasma Experiments

Andrea M. GarofaloColumbia University, 500 West 120th Street, New York, New York 10027
Pages 756-762 | Published online: 27 Mar 2017

Citations (2)

Keep up to date with the latest research on this topic with citation updates for this article.

Subscribe to citation updates

Read on this site (2)

Yueqiang Liu, S. A. Sabbagh, I. T. Chapman, S. Gerasimov, Y. Gribov, T. C. Hender, V. Igochine, M. Maraschek, G. Matsunaga, M. Okabayashi & E. J. Strait. (2016) Multimachine Data–Based Prediction of High-Frequency Sensor Signal Noise for Resistive Wall Mode Control in ITER. Fusion Science and Technology 70:3, pages 387-405.
Read now
A. M. Garofalo. (2005) Resistive Wall Mode Stabilization Studies at DIII-D. Fusion Science and Technology 48:2, pages 918-930.
Read now

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Order Reprints Request Corporate Permissions

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

Request Academic Permissions

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.

Related research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.