79 citations · 167 across the 6 of their papers we have counts for
6 papers
Excitation of whistler-mode waves by an electron temperature anisotropy in a laboratory plasma
Donglai Ma, Xin An, Jia Han +6
Naturally-occurring whistler-mode waves in near-Earth space play a crucial role in accelerating electrons to relativistic energies and scattering them in pitch angle, driving their…
Nonlinear Landau resonant interaction between whistler waves and electrons: Excitation of electron acoustic waves
Donglai Ma, Xin An, Anton Artemyev +3
Electron acoustic waves (EAWs), as well as electron-acoustic solitary structures, play a crucial role in thermalization and acceleration of electron populations in Earth's magnetos…
Machine Learning Interpretability of Outer Radiation Belt Enhancement \& Depletion Events
Donglai Ma, Jacob Bortnik, Qianli Ma +2
We investigate the response of outer radiation belt electron fluxes to different solar wind and geomagnetic indices using an interpretable machine learning method. We reconstruct t…
Opening the Black Box of the Radiation Belt Machine Learning Model
Donglai Ma, Jacob Bortnik, Xiangning Chu +3
Many Machine Learning (ML) systems, especially neural networks, are fundamentally regarded as black boxes since it is difficult to grasp how they function once they have been train…
Relativistic electron flux model in the outer radiation belt using a neural network approach
Xiangning Chu, Donglai Ma, Jacob Bortnik +10
We present a machine-learning-based model of relativistic electron fluxes >1.8 MeV using a neural network approach in the Earth's outer radiation belt. The Outer RadIation belt Ele…
Modeling the dynamic variability of sub-relativistic outer radiation belt electron fluxes using machine learning
Donglai Ma, Xiangning Chu, Jacob Bortnik +6
We present a set of neural network models that reproduce the dynamics of electron fluxes in the range of 50 keV 1 MeV in the outer radiation belt. The Outer Radiation belt E…