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Nonideal Mixing Effects in Warm Dense Matter Studied with First-Principles Computer Simulations

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arxiv 2010.13240 v1 pith:DU2SOWM3 submitted 2020-10-25 cond-mat.mtrl-sci

Nonideal Mixing Effects in Warm Dense Matter Studied with First-Principles Computer Simulations

classification cond-mat.mtrl-sci
keywords mixingapproximationcurveshugoniotwellcompressionionizationregime
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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We study nonideal mixing effects in the regime of warm dense matter (WDM) by computing the shock Hugoniot curves of BN, MgO, and MgSiO_3. First, we derive these curves from the equations of state (EOS) of the fully interacting systems, which were obtained using a combination of path integral Monte Carlo calculations at high temperature and density functional molecular dynamics simulations at lower temperatures. We then use the ideal mixing approximation at constant pressure and temperature to rederive these Hugoniot curves from the EOS tables of the individual elements. We find that the linear mixing approximation works remarkably well at temperatures above ~2*10^5 K, where the shock compression ratio exceeds ~3.2. The shape of the Hugoniot curve of each compound is well reproduced. Regions of increased shock compression, that emerge because of the ionization of L and K shell electrons, are well represented and the maximum compression ratio on the Hugoniot curves is reproduced with high precision. Some deviations are seen near the onset of the L shell ionization regime, where ionization equilibrium in the fully interacting system cannot be well reproduced by the ideal mixing approximation. This approximation also breaks down at lower temperatures, where chemical bonds play an increasingly import role. However, the results imply that equilibrium properties of binary and ternary mixtures in the regime of WDM can be derived from the EOS tables of the individual elements. This significantly simplifies the characterization of binary and ternary mixtures in the WDM and plasma phases, which otherwise requires large numbers of more computationally expensive first-principles computer simulations.

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