HelioWebDonglai Ma
flowchart
A[Donglai Ma]
AC["Associated Concepts (25)"]
AW["Authored Works (17)"]
CA["Linked Co-Authors (34)"]
CI["Linked Collaborating Institutions (14)"]
A== dcterms:relation ==>AC
AW== author ==>A
AW== author ==>CA
AW== affil ==>CI
click AC "#associated-concepts"
click AW "#authored-works"
click CA "#co-authors"
click CI "#collaborating-institutions"
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- ORCiD
- https://orcid.org/0000-0003-3183-4289
- OpenAlex ID
- https://openalex.org/A5018109995 (API record)
Associated Concepts [?]
- Quantum mechanics
- Physics
- Magnetic field
- Plasma
- Nuclear physics
- Magnetosphere
- Van Allen radiation belt
- Van Allen Probes
- Geology
- Earth's magnetic field
- Computational physics
- Geophysics
- Solar wind
- Electron
- Optics
- Geomagnetic storm
- Geography
- Computer science
- Astronomy
- Radiation
- Organic chemistry
- Chemistry
- Thermodynamics
- Machine learning
- Engineering
Authored Works
sorted by decreasing year, and then by display-name
- The Response of Equivalent Ionospheric Currents to the External Drivers via Spatiotemporal Prediction by Neural Network
- The Machine Learning application to the Spatiotemporal Prediction of Equivalent Ionospheric Currents
- Temporal and spatial evolution of chorus waves modeled by an artificial neural network
- Statistical Analysis of Plasmaspheric Erosion and Refilling - Machine Learning Approach
- Opening the Black Box of the Radiation Belt Machine Learning Model
- Modeling Ring Current Proton Fluxes Using Artificial Neural Network and Van Allen Probe Measurements
- Hiss in the plasmasphere and plumes: Global distribution from machine learning techniques and their effects on the loss of energetic electrons
- Global distribution and evolution of chorus waves modeled by an artificial neural network
- Excitation of Electron Acoustic Waves by electron beams in nonlinear Landau resonance with Whistler Waves
- Auroral Beads in Conjunction With Kinetic Alfvén Waves in the Equatorial Inner-Magnetosphere
- Statistical Investigation of the Erosion and Refilling of the Plasmasphere - Machine Learning Based Approach
- Modeling the dynamic variability of sub-relativistic outer radiation belt electron fluxes using machine learning
- Investigation of the response of the ionospheric current to upstream solar wind and magnetospheric activity: a neural network approach
- Implementation of Recurrent Neural Network in Constructing Global Electron Density in the Earths Magnetosphere
- Data-driven discovery of the governing equations describing radiation belt dynamics
- A Statistical Analysis of the Erosion and Refilling of the Plasmasphere Using Neural Network-Based DEN3D Model
- A Neural Network Based Model of the Relativistic Electrons in the Outer Radiation Belt
Linked Co-Authors
- Adam Kellerman
- B. Larsen
- C. Ferradas
- Chih‐Ping Wang
- D. Malaspina
- Enrico Camporeale
- G. D. Reeves
- Harlan E. Spence
- Homayon Aryan
- Hong Zhao
- J Bernard Blake
- J. M. Weygand
- J. R. Wygant
- Jacob Bortnik
- Jerry Goldstein
- Jinxing Li
- K. Zhang
- L. Capannolo
- L. R. Lyons
- Q. Ma
- R. E. Denton
- R. L. Lysak
- S. G. Claudepierre
- S. Tian
- Sheng Huang
- Vassilis Angelopoulos
- W. Kent Tobiska
- X. Cao
- Xiangning Chu
- Xiaochen Shen
- Xiaojia Zhang
- Xin An
- Y. Nishimura
- А. V. Artemyev
Linked Collaborating Institutions
- Aerospace Corporation, California
- Auburn University, Alabama
- Beijing University of Aeronautics and Astronautics, China
- Boston University, Massachusetts
- Dartmouth College, New Hampshire
- Los Alamos National Laboratory, New Mexico
- Louisiana State University
- Southwest Research Institute, Texas
- University of California, Los Angeles
- University of Colorado, Boulder
- University of Colorado, Boulder, Laboratory for Atmospheric and Space Physics
- University of Minnesota, Twin Cities
- University of New Hampshire
- University of Sheffield, UK
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