• AME: A Cross-Scale Constellation of CubeSats to Explore Magnetic Reconnection in the Solar–Terrestrial Relation 

      Dai, Lei; Wang, Chi; Cai, Zhiming; Gonzalez, Walter D.; Hesse, Michael; Escoubet, Philippe; Phan, Tai D.; Vasyliunas, Vytenis; Lu, Quanming; Li, Lei; Kong, Linggao; Dunlop, Malcolm W.; Nakamura, Rumi; He, Jianshen; Fu, Huishan; Zhou, M.; Huang, Shiyong; Wang, Rongsheng; Khotyaintsev, Yuri V.; Graham, D. B.; Retinò, Alessandro; Zelenyi, Lev; Grigorenko, Elena E.; Runov, Andrei; Angelopoulos, Vassilis; Kepko, Larry; Hwang, Kyoung-Joo; Zhang, Yongcun (Journal article; Peer reviewed, 2020)
      A major subset of solar–terrestrial relations, responsible, in particular, for the driver of space weather phenomena, is the interaction between the Earth's magnetosphere and the solar wind. As one of the most important ...
    • Prediction of Soft Proton Intensities in the Near-Earth Space Using Machine Learning 

      Kronberg, Elena A.; Hannan, Tanveer; Huthmacher, Jens; Münzer, Marcus; Peste, Florian; Zhou, Ziyang; Berrendorf, Max; Faerman, Evgeniy; Gastaldello, Fabio; Ghizzardi, Simona; Escoubet, Philippe; Haaland, Stein; Smirnov, Artem; Sivadas, Nithin; Allen, Robert C.; Tiengo, Andrea; Ilie, Raluca (Journal article; Peer reviewed, 2021)
      The spatial distribution of energetic protons contributes to the understanding of magnetospheric dynamics. Based upon 17 yr of the Cluster/RAPID observations, we have derived machine-learning-based models to predict the ...