Space Environment Modeling Group

Camporeale E., G. J. Wilkie, A. Drozdov, J. Bortnik, (2022), Data‐driven discovery of Fokker‐Planck equation for the Earth’s radiation belts electrons using Physics‐Informed Neural Networks, J. Geophys. Res. [Space Physics], doi:10.1029/2022ja030377

Camporeale E., G. Wilkie, A. Drozdov, J. Bortnik, (2021), Machine learning based discovery of missing physical processes in radiation belt modeling, AGU 2021 Fall Meeting, SM21B-07

Camporeale E., G. Wilkie, A. Drozdov, J. Bortnik, (2021), Forecasting Radiation Belt Electron Flux Using Machine-learned Parameters for Radial Transport Equation, AGU 2021 Fall Meeting, NG45B-0578

Camporeale E., G. J. Wilkie, R. Sarma, A. Drozdov, J. Bortnik, (2020), Data-driven discovery of Fokker-Planck equation for radiation belt electrons using physics-informed neural networks, AGU 2020 Fall Meeting

Sarma R., G. J. Wilkie, E. Camporeale, A. Drozdov, Y. Shprits, (2019), Physics-informed machine learning for estimating the electron flux in the Earth’s radiation belts, AGU 2019 Fall Meeting

Wilkie G. J., E. Camporeale, R. Sarma, J. Bortnik, A. Drozdov, Y. Shprits, (2019), Estimation of Radiation Belts’ Phase Space Density using Physics-Informed Neural Networks, AGU 2019 Fall Meeting