• A Combined Neural Network‐ and Physics‐Based Approach for Modeling Plasmasphere Dynamics 

      Zhelavskaya, I. S.ORCIDiD; Aseev, N. A.ORCIDiD; Shprits, Y. Y.ORCIDiD (Journal of Geophysical Research: Space Physics, 2021-03-16)
      In recent years, feedforward neural networks (NNs) have been successfully applied to reconstruct global plasmasphere dynamics in the equatorial plane. These neural network‐based models capture the large‐scale dynamics of ...
    • Medium Energy Electron Flux in Earth's Outer Radiation Belt (MERLIN): A Machine Learning Model 

      Smirnov, A. G.ORCIDiD; Berrendorf, M.ORCIDiD; Shprits, Y. Y.ORCIDiD; Kronberg, E. A.ORCIDiD; Allison, H. J.ORCIDiD; Aseev, N. A.ORCIDiD; Zhelavskaya, I. S.ORCIDiD; Morley, S. K.ORCIDiD; Reeves, G. D.ORCIDiD; Carver, M. R.ORCIDiD; Effenberger, F.ORCIDiD (Space Weather, 2020-10-30)
      The radiation belts of the Earth, filled with energetic electrons, comprise complex and dynamic systems that pose a significant threat to satellite operation. While various models of electron flux both for low and relativistic ...