1. First-principles investigations on ionization and thermal conductivity of polystyrene for inertial confinement fusion applications.
- Author
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Hu, S. X., Collins, L. A., Goncharov, V. N., Kress, J. D., McCrory, R. L., and Skupsky, S.
- Subjects
MOLECULAR dynamics ,QUANTUM theory ,DENSITY functional theory ,POLYSTYRENE ,THERMAL conductivity ,INERTIAL confinement fusion ,IONIZATION (Atomic physics) - Abstract
Using quantum molecular-dynamics (QMD) methods based on the density functional theory, we have performed first-principles investigations of the ionization and thermal conductivity of polystyrene (CH) over a wide range of plasma conditions (ρ = 0.5 to 100 g/cm³ and T = 15 625 to 500 000 K). The ionization data from orbital-free molecular-dynamics calculations have been fitted with a "Saha-type" model as a function of the CH plasma density and temperature, which gives an increasing ionization as the CH density increases even at low temperatures (T<50 eV). The orbital-free molecular dynamics method is only used to gauge the average ionization behavior of CH under the average-atom model in conjunction with the pressure-matching mixing rule. The thermal conductivities (Κ
QMD ) of CH, derived directly from the Kohn-Sham molecular-dynamics calculations, are then analytically fitted with a generalized Coulomb logarithm [(lnΛ)QMD ] over a wide range of plasma conditions. When compared with the traditional ionization and thermal conductivity models used in radiation-hydrodynamics codes for inertial confinement fusion simulations, the QMD results show a large difference in the low-temperature regime in which strong coupling and electron degeneracy play an essential role in determining plasma properties. Hydrodynamic simulations of cryogenic deuterium-tritium targets with CH ablators on OMEGA and the National Ignition Facility using the QMD-derived ionization and thermal conductivity of CH have predicted ~20% variation in target performance in terms of hot-spot pressure and neutron yield (gain) with respect to traditional model simulations. [ABSTRACT FROM AUTHOR]- Published
- 2016
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