Prediction of negative hydrogen ion density in permanent magnet-based helicon ion source (HELEN) using deep learning techniques-Reference-Cited by-同舟云学术

Prediction of negative hydrogen ion density in permanent magnet-based helicon ion source (HELEN) using deep learning techniques

Published:2021 Issue: Volume: Page:
ISSN:0094-243X
Container-title:SEVENTH INTERNATIONAL SYMPOSIUM ON NEGATIVE IONS, BEAMS AND SOURCES (NIBS 2020)
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Author:

Shukla Vipin,Mukhopadhyay Debrup,Pandey Arun,Bandyopadhyay Mainak,Pandya Vivek

Publisher

AIP Publishing

Link

http://aip.scitation.org/doi/pdf/10.1063/5.0057431

Reference23 articles.

1. Conceptual design of a permanent ring magnet based helicon plasma source module intended to be used in a large size fusion grade ion source

2. Performance evaluation of a permanent ring magnet based helicon plasma source for negative ion source research

3. Characterization of hydrogen plasma in a permanent ring magnet based helicon plasma source for negative ion source research

4. Y.B. Kong, E.J. Lee, M.G. Hur, J.H. Park, Y.D. Park, S.D. Yang, Neural network based generalized predictive control for RFT-30 cyclotron system, in: CYC 2016 - Proc. 21st Int. Conf. Cyclotrons Their Appl., 2016: pp. 212–214.

5. The development of an expert system to tune a beam line

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