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This special issue collects contributions from the participants of the"Information in Dynamical Systems and Complex Systems" workshop, which cover awide range of important problems and new approaches that lie in theintersection of information theory and dynamical systems. The contributionsinclude theoretical characterization and understanding of the different typesof information flow and causality in general stochastic processes, inferenceand identification of coupling structure and parameters of system dynamics,rigorous coarse-grain modeling of network dynamical systems, and exactstatistical testing of fundamental information-theoretic quantities such as themutual information. The collective efforts reported herein reflect a modernperspective of the intimate connection between dynamical systems andinformation flow, leading to the promise of better understanding and modelingof natural complex systems and better/optimal design of engineering systems

Ab Initio and Monte Carlo Approaches For the Magnetocaloric Effect in Co- and In-Doped Ni-Mn-Ga Heusler Alloys