Farooki, Hameedullah https://orcid.org/0000-0001-7952-8032
Abduallah, Yasser https://orcid.org/0000-0003-0792-2270
Noh, Sung Jun https://orcid.org/0000-0002-8032-7833
Kim, Hyomin https://orcid.org/0000-0002-6350-405X
Bizos, George
Shin, Youra https://orcid.org/0000-0002-0815-9855
Wang, Jason T. L. https://orcid.org/0000-0002-2486-1097
Wang, Haimin https://orcid.org/0000-0002-5233-565X
Funding for this research was provided by:
National Science Foundation (OPP-2032421)
National Aeronautics and Space Administration (80NSSC20K1282)
National Science Foundation (AGS-1927578)
National Science Foundation (AGS-2229064)
Article Title: A Machine Learning Approach to Understanding the Physical Properties of Magnetic Flux Ropes in the Solar Wind at 1 au
Journal Title: The Astrophysical Journal
Article Type: paper
Copyright Information: © 2024. The Author(s). Published by the American Astronomical Society.
Publication dates
Date Received: 2023-02-23
Date Accepted: 2023-11-12
Online publication date: 2024-01-16