Predicting the antenna properties of helicon plasma thrusters using machine learning techniques
Crossref DOI link: https://doi.org/10.1007/s44205-023-00063-w
Published Online: 2024-03-05
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Malm, Oscar
Souhair, Nabil
Rossi, Alessandro
Magarotto, Mirko
Ponti, Fabrizio
Text and Data Mining valid from 2024-03-05
Version of Record valid from 2024-03-05
Article History
Received: 24 August 2023
Accepted: 18 December 2023
First Online: 5 March 2024
Declarations
:
: The authors declare no competing interests.