Data-driven science and technology offer transformative tools and methods to science. This
review article highlights the latest development and progress in the interdisciplinary field of …

Alongside magnetic reconnection, turbulence is another fundamental nonlinear plasma
phenomenon that plays a key role in energy transport and conversion in space and …

We present a new model for the probability that the disturbance storm time (Dst) index
exceeds− 100 nT, with a lead time between 1 and 3 days. Dst provides essential information …

We present theoretical and computational analyses of energy conversions in a magnetized
collisionless plasma. We first revisit the theoretical approach to energy conversion analysis …

The dissipation mechanism of the magnetic energy in turbulent collisionless space and
astrophysical plasmas is still not well understood. Its investigation requires efficient kinetic …

Current sheets forming in an ion-kinetic turbulent collisionless plasma are characterized by
utilizing the results of two-dimensional hybrid-kinetic numerical simulations (ions treated as …

Kinetic turbulence in magnetized space plasmas has been extensively studied via in situ
observations, numerical simulations, and theoretical models. In this context, a key point …

Abstract Geomagnetically Induced Currents (GICs) are electrical currents generated by rapid
changes in the geomagnetic field during space weather events, posing risks to power grids …

Time series data sets often have missing or corrupted entries, which need to be handled in
subsequent data analysis. For example, in the context of space physics, calibration issues …

Computer vision and machine learning tools offer an exciting new way for automatically
analyzing and categorizing information from complex computer simulations. Here we design …