Artificial neural network based predictive negative hydrogen ion helicon plasma source for fusion grade large sized ion source
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Science Applications,General Engineering,Modeling and Simulation,Software
Link
https://link.springer.com/content/pdf/10.1007/s00366-020-01060-5.pdf
Reference38 articles.
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2. Boswell RW (1984) Very efficient plasma generation by whistler waves near the lower hybrid frequency. Plasma Phys Control Fusion 26:1147–1162. https://doi.org/10.1088/0741-3335/26/10/001
3. Pandey A, Sudhir D, Bandyopadhyay M, Chakraborty A (2016) Conceptual design of a permanent ring magnet based helicon plasma source module intended to be used in a large size fusion grade ion source. Fusion Eng Des 103:1–7. https://doi.org/10.1016/j.fusengdes.2015.11.025
4. Edelen AL, Biedron SG, Chase BE, Edstrom D, Milton SV, Stabile P (2016) Neural networks for modeling and control of particle accelerators. IEEE Trans Nucl Sci 63(2):878–897. https://doi.org/10.1109/TNS.2016.2543203
5. Scheinker A, Edelen A, Bohler D, Emma C, Lutman A (2018) Demonstration of model-independent control of the longitudinal phase space of electron beams in the linac-coherent light source with femtosecond resolution. Phys Rev Lett 121:44801. https://doi.org/10.1103/PhysRevLett.121.044801
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