Performance prediction of radio frequency based negative ion source using fusion neural network model

Performance prediction of radio frequency based negative ion source using fusion neural network model

To accelerate the development of a radio frequency negative ion source (RF-NIS), a fusion neural network model has been developed to simulate and predict the performance of RF-NIS under set working parameters. The model leverages the setting parameters and diagnostic data from RF-NIS to train multip...

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Bibliographic Details
Main Authors: Yu Gu, Chundong Hu, Yang Li, Yuwen Yang, Yahong Xie, Qinglong Cui, Yuanzhe Zhao
Format: Article
Language:English
Published: IOP Publishing 2025-01-01
Series:Nuclear Fusion
Subjects:
NNBI
negative ion source
performance prediction
neural network
deep learning
Online Access:https://doi.org/10.1088/1741-4326/adf655
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https://doi.org/10.1088/1741-4326/adf655

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