The use of machine learning for the rapid prediction of radiation belt dynamics
Jacob Bortnik, University of California Los Angeles, Atmospheric and Oceanic Sciences, Los Angeles, CA, United States, Qianli Ma, UCLA, Los Angeles, United States, Xiangning Chu, University of California Los Angeles, Department of Atmospheric and Oceanic Sciences, Los Angeles, CA, United States; Laboratory for Atmospheric and Space Physics, Boulder, CO, United States, Wen Li, Boston University, Boston, MA, United States, Seth G Claudepierre, The Aerospace Corporation, Santa Monica, CA, United States; UCLA, Department of Atmospheric and Oceanic Sciences, Los Angeles, CA, United States, Binbin Ni, Wuhan University, Wuhan, China and Vassilis Angelopoulos, University of California, Los Angeles, Department of Earth, Planetary, and Space Sciences and Institute of Geophysics and Planetary Physics, Los Angeles, CA, United States