Space Environment Modeling Group

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., M. Chandorkar, I. Zhelavskaya, Y. Shprits, A. Drozdov, E. Camporeale, (2020), Bayesian Inference of Quasi-Linear Radial Diffusion Parameters using Van Allen Probes, J. Geophys. Res. [Space Physics], 125, e2019JA027618, doi:10.1029/2019JA027618, e2019JA027618 10.1029/2019JA027618

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

Sarma R., M. Chandorkar, E. Camporeale, A. Drozdov, Y. Shprits, (2019), Identification of Radial Diffusion Parameters for the Earth’s Radiation Belt through Bayesian Inference, EGU General Assembly 2019, EGU General Assembly Conference Abstracts, 15525

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

Camporeale E., R. Sarma, M. Chandorkar, A. Drozdov, Y. Shprits, (2018), Bayesian Inference of Radial Diffusion Parameters for the Earth’s Radiation Belt: a Deep Learning Framework, AGU 2018 Fall Meeting, SM31D-3515