Generation of Shock Waves in Deuterium in the Explosive Voitenko Generator

Derentowicz, H.; Dybek, W.; Wróbel, Jan; Ziółkowski, Zbigniew; Zygmund, J.

doi:10.1051/jphyscol:1984853

Cited by 2 publications

(1 citation statement)

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“…For ion transport, this leaves flux limiters as the usual practical option implemented in hydrodynamics codes. Chapman et al [13] indicates that flux limiters may be insufficient for modelling non-local ion heat transport accurately and therefore may be a major contributor to discrepancies in modelling ICF systems of interest, in particular reproducing neutron yields from experiments on uniaxially driven targets [26,27].…”

Section: Introductionmentioning

confidence: 99%

A reduced kinetic method for investigating non-local ion heat transport in ideal multi-species plasmas

Mitchell,

Chapman,

McDevitt

et al. 2024

Plasma Phys. Control. Fusion

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A reduced kinetic method (RKM) with a first-principle collision operator is introduced in a 1D2V planar geometry and implemented in a computationally inexpensive code to investigate non-local ion heat transport in multi-species plasmas. The RKM successfully reproduces local results for multi-species ion systems and the important features expected to arise due to non-local effects on the heat flux are captured. In addition to this, novel features associated with multi-species, as opposed to single species, case are found. Effects of non-locality on the heat flux are investigated in mass and charge symmetric and asymmetric ion mixtures with temperature, pressure, and concentration gradients. In particular, the enthalpy flux associated with diffusion is found to be insensitive to sharp pressure and concentration gradients, increasing its significance in comparison to the conductive heat flux driven by temperature gradients in non-local scenarios. The RKM code can be used for investigating other kinetic and non-local effects in a broader plasma physics context. Due to its relatively low computational cost it can also serve as a practical non-local ion heat flux closure inhydrodynamic simulations or as a training tool for machine learning surrogates.

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Section: Introductionmentioning

confidence: 99%