Study of Machine Learning Techniques for Performance Prediction in Low-Power Hall Effect Thruster Operating on Monoatomic and Molecular Propellants
- DOI
- 10.21203/rs.3.rs-10583210/v1
- Published
- 2026-08-13
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- Not recorded
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.21203/rs.3.rs-10583210/v1,
title = {Study of Machine Learning Techniques for Performance Prediction in Low-Power Hall Effect Thruster Operating on Monoatomic and Molecular Propellants},
author = {Shantanusinh Parmar and Joseph A. Moskovitz and Dan Lev and Mitchell L. R. Walker},
year = {2026},
doi = {10.21203/rs.3.rs-10583210/v1},
url = {https://doi.org/10.21203/rs.3.rs-10583210/v1}
}RIS
TY - JOUR TI - Study of Machine Learning Techniques for Performance Prediction in Low-Power Hall Effect Thruster Operating on Monoatomic and Molecular Propellants AU - Shantanusinh Parmar AU - Joseph A. Moskovitz AU - Dan Lev AU - Mitchell L. R. Walker PY - 2026 DO - 10.21203/rs.3.rs-10583210/v1 UR - https://doi.org/10.21203/rs.3.rs-10583210/v1 ER -
APA
Parmar, S., Moskovitz, J. A., Lev, D., & Walker, M. L. R. (2026). Study of Machine Learning Techniques for Performance Prediction in Low-Power Hall Effect Thruster Operating on Monoatomic and Molecular Propellants. https://doi.org/10.21203/rs.3.rs-10583210/v1
Source records
- crossref · retrieved 2026-09-26T04:49:26.081Z