Learning from successful applications of methods originating in statistical mechanics,
complex systems science, or information theory in one scientific field (eg, atmospheric …

Intermittent turbulence is key for understanding the stochastic nonlinear dynamics of space,
astrophysical, and laboratory plasmas. We review the theory of deterministic and stochastic …

Complexity measures are essential to understand complex systems and there are numerous
definitions to analyze one-dimensional data. However, extensions of these approaches to …

Many solar wind parameters correlate with one another, which complicates the causal‐effect
studies of solar wind driving of the magnetosphere. Conditional mutual information (CMI) is …

Characterizing and modeling processes at the sun and space plasma in our solar system
are difficult because the underlying physics is often complex, nonlinear, and not well …

Much of the research on the magnetic activity of the Sun has been focused on its
axisymmetric component. However, the longitudinal complexity plays a fundamental role in …

Solar variability occurs over a broad range of spatial and temporal scales, from the Sun's
brightening over its lifetime to the fluctuations commonly associated with magnetic activity …

Self-organization is a property of dissipative nonlinear processes that are governed by a
global driving force and a local positive feedback mechanism, which creates regular …

Waiting-time distributions allow us to distinguish at least three different types of dynamical
systems, including (i) linear random processes (with no memory);(ii) nonlinear, avalanche …

The solar magnetic activity is governed by a complex dynamo mechanism and exhibits a
nonlinear dissipation behavior in nature. The chaotic and fractal properties of solar time …