Static and dynamic properties of multi-ionic plasma mixtures

Abstract

Complex plasma mixtures with three or more components are often encountered in astrophysics or in inertial confinement fusion (ICF) experiments. For mixtures containing species with large differences in atomic number Z, the modeling needs to consider at the same time the kinetic theory for low-Z elements combined with the theory of strongly coupled plasma for high-Z elements, as well as all the intermediate situations that can appear in multi-component systems. For such cases, we study the pair distribution functions, self-diffusions, mutual diffusion and viscosity for ternary mixtures at extreme conditions. These quantities can be produced from first principles using orbital free molecular dynamics at the computational expense of very intensive simulations to reach good statistics. Utilizing the first-principles results as reference data, we assess the merit of a global analytic model for transport coefficients, Pseudo-Ions in Jellium (PIJ), based on an iso-electronic assumption ( iso-n e ). With a multi-component hypernetted-chain integral equation, we verify the quality of the iso-n e prescription for describing the static structure of the mixtures. This semi-analytical modeling compares well with the simulation results and allows one to consider plasma mixtures not accessible to simulations. Applications are given for the mix of materials in ICF experiments. A reduction of a multicomponent mixture to an effective binary mixture is also established in the hydrodynamic limit and compared with PIJ estimations for ICF relevant mixtures.

arXiv comment17 pages, 10 Figures

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Cited by in corpus (6)

• Requirements for very high temperature Kohn-Sham density functional simulations and how to bypass them
• Chapman-Enskog derivation of multicomponent Navier-Stokes equations
• Optical and Transport Properties of Plasma Mixtures from Ab Initio Molecular Dynamics
• Group Conductivity and Nonadiabatic Born Effective Charges of Disordered Metals, Warm Dense Matter, and Hot Dense Plasma
• Modeling compressed turbulent plasma with rapid viscosity variations
• Bootstrapping time correlation functions of molecular dynamics