Predicting Performance of Hall Effect Ion Source Using Machine Learning

Predicting Performance of Hall Effect Ion Source Using Machine Learning

Accurate performance prediction methods are essential for the development of high‐efficiency Hall effect ion sources, which are employed in industries ranging from material surface treatment to spacecraft electric propulsion (known as Hall thrusters). Traditional methods rely on simplified scaling l...

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Bibliographic Details
Main Authors: Jaehong Park, Guentae Doh, Dongho Lee, Youngho Kim, Changmin Shin, Su‐Jin Shin, Young‐Chul Ghim, Sanghoo Park, Wonho Choe
Format: Article
Language:English
Published: Wiley 2025-03-01
Series:Advanced Intelligent Systems
Subjects:
Hall effect ion sources
Hall thrusters
neural network ensemble
plasma sources
scaling laws
Online Access:https://doi.org/10.1002/aisy.202400555
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https://doi.org/10.1002/aisy.202400555

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