On Scaling of Hall-Effect Thrusters Using Neural Nets
Author:
Affiliation:
1. Keldysh Research Centre, 125438, Moscow, Russia
2. HSE University, 109028, Moscow, Russia
Publisher
American Institute of Aeronautics and Astronautics (AIAA)
Subject
Space and Planetary Science,Mechanical Engineering,Fuel Technology,Aerospace Engineering
Link
https://arc.aiaa.org/doi/pdf/10.2514/1.B38592
Reference16 articles.
1. Fundamentals of Stationary Plasma Thruster Theory
2. Main Physical Features and Processes Determining the Performance of Stationary Plasma Thrusters
3. The technological and commercial expansion of electric propulsion
4. Tutorial: Physics and modeling of Hall thrusters
5. Physics of E × B discharges relevant to plasma propulsion and similar technologies
Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Data-driven sparse modeling of oscillations in plasma space propulsion;Machine Learning: Science and Technology;2024-08-23
2. Supervised machine learning-based Hall thruster scaling;Journal of Electric Propulsion;2024-08-01
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